library(tidyverse)

## Warning: package 'tidyverse' was built under R version 4.0.5

## -- Attaching packages --------------------------------------- tidyverse 1.3.0 --

## v ggplot2 3.3.3     v purrr   0.3.4
## v tibble  3.1.0     v dplyr   1.0.5
## v tidyr   1.1.2     v stringr 1.4.0
## v readr   1.4.0     v forcats 0.5.0

## Warning: package 'tibble' was built under R version 4.0.5

## Warning: package 'dplyr' was built under R version 4.0.5

## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()

library(haven) # to read data from .sav format from Qualtrics
library(codebook) # to generate codebook
library(here)

## here() starts at C:/Users/Nami Sunami/Documents/git/dissertation-private

# Codebook
knitr::opts_chunk$set(
  warning = TRUE, # show warnings during codebook generation
  message = TRUE, # show messages during codebook generation
  error = FALSE, # do not interrupt codebook generation in case of errors,
                # usually better for debugging
  echo = TRUE  # show R code
)
ggplot2::theme_set(ggplot2::theme_minimal())

Load Data

Download the .sav (SPSS) file from Qualtrics and load it with haven().

# Load data
s2_sav <- "Study2.sav"
s2_df <- haven::read_sav(here("data", s2_sav))

Masking - Drop Unneded Variables and Drop Unfinished Responses

Dropping variables such as IP Address, and panel metadata from Qualtrics. In addition, I’m dropping the location information since they are not used in my study. To further de-identify the participants, delete the PROLIFIC_PID and assign PID

s2_df <- s2_df %>% 
  select(-IPAddress,
         -(RecipientLastName:RecipientEmail),
         -ExternalReference,
         -LocationLatitude,
         -LocationLongitude,
         -PROLIFIC_PID)
# Drop Unfinished Responses (Responses without conditions are unfinished )
s2_df <- s2_df %>% 
  filter(essay_condition != "")
# Assign unique PID to each participant 
s2_df <- s2_df %>% 
  mutate(PID = row_number())

New Variables

Scale Variables

Scaled variables were - Parasocial Interaction Process Scale (PSI_1:PSI_12) - Reversed items: 2, 9, 10, - Narrative Engagement Scale (Narrative_Engagement_1:Narrative_Engagement_9) - Reversed items: 1, 2, 3, 4, 5 - On-The-Fly Measure of Social World (OTF_Social_World_1:OTF_Social_World_4) - No reversed items

# Parasocial Interaction Scale
PSI_rev_items <- paste0("PSI_", c(2, 9, 10)) # Reversed items
s2_df <- s2_df %>% 
  # Add "R" to the reversed items variable names
  rename_at(PSI_rev_items, add_R) %>% 
  # Apply function to reverse the items
  mutate_at(paste0(PSI_rev_items, "R"), reverse_labelled_values)
# Aggregate as a scale
s2_df$PSI <- s2_df %>% select(starts_with("PSI_")) %>%
  aggregate_and_document_scale()

# Narrative Engagement Scale
NE_rev_items <- paste0("Narrative_Engagement_", c(1, 2, 3, 4, 5)) # Reversed items
s2_df <- s2_df %>% 
  # Add "R" to the reversed items variable names
  rename_at(NE_rev_items, add_R) %>% 
  # Apply function to reverse the items
  mutate_at(paste0(NE_rev_items, "R"), reverse_labelled_values)
# Aggregate as a scale
s2_df$Narrative_Engagement <- s2_df %>% select(starts_with("Narrative_Engagement_")) %>%
  aggregate_and_document_scale()

# On-the-fly Measure of Social World ----------------------------------------
s2_df$OTF_Social_World <- s2_df %>% 
  select(starts_with("OTF_Social_World_")) %>% aggregate_and_document_scale()

# Enjoyment  ----------------------------------------
enjoyment_rev_items <- paste0("Enjoyment_", c(3)) # Reversed Item
s2_df <- s2_df %>% 
  # Add "R" to the reversed items variable names
  rename_at(enjoyment_rev_items, add_R) %>% 
  # Apply function to reverse the items
  mutate_at(paste0(enjoyment_rev_items, "R"), reverse_labelled_values)
# Aggregate as a scale
s2_df$Enjoyment <- s2_df %>% select(starts_with("Enjoyment_")) %>%
  aggregate_and_document_scale()

Title Case Conditions

s2_df <- s2_df %>% 
  mutate(essay_condition_title = str_to_title(essay_condition))

Gender Identity

s2_df <- s2_df %>% 
  mutate(across(starts_with("Gender"),
                to_factor)) %>%
  unite("Gender_Identity", Gender_1:Gender_7_TEXT,
        remove = FALSE, na.rm = TRUE, sep = " & ") %>%
  # Remove trailing "&"
  mutate(Gender_Identity = gsub('^\\s& |\\s& $', '', Gender_Identity)) %>%
  # Gropu into Female, Male, and Non-FM
  mutate(Gender_Identity_3GP = case_when(Gender_Identity == "Female" ~ "Female",
                                         Gender_Identity == "Male" ~ "Male",
                                         TRUE ~ "Other"))

Racial Identity

s2_df <- s2_df %>% 
  mutate(across(starts_with("Race_"),
                to_factor)) %>%
  unite("Race", Race_1:Race_8,
        remove = FALSE, na.rm = TRUE, sep = " & ") %>%
  # Remove trailing "&"
  mutate(Race = gsub('^\\s& |\\s& $', '', Race)) %>%
  # Grouping in to White 
  mutate(Race_8GP = case_when(Race == "American Indian, Indigenous Canadian, or Alaska Native" ~ "American Indian, Indigenous Canadian, or Alaska Native",
                              Race == "Asian" ~ "Asian",
                              Race == "Black" ~ "Black",
                              Race == "Latino/Latina, Hispanic, Chicano, or Puerto Rican" ~ "Latino/Latina, Hispanic, Chicano, or Puerto Rican",
                              Race == "Middle Eastern or North African" ~ "Middle Eastern or North African",
                              Race == "Native Hawaiian or Pacific Islander" ~ "Native Hawaiian or Pacific Islander",
                              Race == "White" ~ "White",
                              TRUE ~ "Other/Multiracial"))

Parasocial Relationships Groups

# Parasocial Relationships Manipulation Check ------------------------------
# Create variable for parasocial values 
parasocial_labels <- c("No Interaction with NPC",
                       "No Parasocial Relationship with NPC",
                       "Formed Parasocial Relationship with NPC")
# Add the labels
s2_df <- s2_df %>% 
  mutate(parasocial_MC_group = 
           case_when(Interact_with_NPC == 2 ~ 1,
                     Interact_with_NPC == 1 & IOS == 0 ~ 2,
                     Interact_with_NPC == 1 & IOS > 0 ~ 3),
         parasocial_MC_group = ordered(parasocial_MC_group,
                                       levels = c(1, 2, 3),
                                       labels = parasocial_labels))

New Variable: Attention Check

# Mark participants with Attention Checks
s2_df <- s2_df %>% 
  # Rejection Attention Check
  mutate(attention_rejection_correct = 
           case_when(Attention_Rejection == 1 ~ TRUE,
                     TRUE ~ FALSE)) %>% 
  # Social World Attention Check
  mutate(attention_VG_correct =  
           case_when(essay_condition == "social surrogacy" & Attention_VG == 1 ~ TRUE,
                     essay_condition == "non-social surrogacy" & Attention_VG == 2 ~ TRUE,
                     TRUE ~ FALSE)) %>% 
  # All Attention Checks
  mutate(attention_all_correct = 
           case_when(attention_rejection_correct == TRUE &
                       attention_VG_correct == TRUE ~ TRUE,
                     TRUE ~ FALSE))

Condtiion Name to Title Case

# Condition names to title case
s2_df <- s2_df %>% 
  mutate(essay_condition = str_to_title(essay_condition))

Video Game and Coding

# read coder data
coderA <- read_csv(here("data", "Study2_codes", "coderA.csv")) %>%
 mutate("coder" = "A")

## 
## -- Column specification --------------------------------------------------------
## cols(
##   ResponseId = col_character(),
##   essay_condition = col_character(),
##   target_game_name = col_character(),
##   followed_instructions = col_character()
## )

coderB <- read_csv(here("data", "Study2_codes", "coderB.csv")) %>%
 mutate("coder" = "B")

## 
## -- Column specification --------------------------------------------------------
## cols(
##   ResponseId = col_character(),
##   essay_condition = col_character(),
##   target_game_name = col_character(),
##   followed_instructions = col_character()
## )

coderC <- read_csv(here("data", "Study2_codes", "coderC.csv")) %>%
 mutate("coder" = "C")

## 
## -- Column specification --------------------------------------------------------
## cols(
##   ResponseId = col_character(),
##   essay_condition = col_character(),
##   target_game_name = col_character(),
##   followed_instructions = col_character()
## )

# Bind all data into a long format
codes_long <- coderA %>% bind_rows(coderB, coderC) %>% select(coder, everything())
# Convert to Wide
codes_wide <- codes_long %>% pivot_wider(names_from = coder ,
                                         values_from = followed_instructions)
# Agreement columns among the coders
codes_wide <- codes_wide %>% 
  mutate(agreeAB = A == B, agreeAC = A == C, agreeBC = B == C)
# Summry table showing agreement 
codes_summary <- codes_wide %>% 
  dplyr::summarize(across(c(agreeAB, agreeAC, agreeBC),
                   ~sum(.)/n()))
codes_summary <- codes_summary %>%
  pivot_longer(everything(), names_to = "pair", values_to = "agreement") %>% 
  mutate(rank = rank(desc(agreement)))
agreements_list <- codes_summary %>% select(pair, agreement) %>% deframe %>% as.list()
# (0.805 + 0.772 + 0.824)/3
# Add percentage agreements 
codes_wide <- codes_wide %>% 
  mutate(agreeAB_percent = agreements_list$agreeAB,
         agreeAC_percent = agreements_list$agreeAC,
         agreeBC_percent = agreements_list$agreeBC) %>% 
  # then roowise operation to calculate the mean of the agreement
  mutate(agree_overall_percent = mean(c(agreeAB_percent, agreeAC_percent, agreeBC_percent))) %>% 
  ungroup()
# Highest pair
highest_pair <- codes_summary %>% filter(rank == 1) %>% pull(pair)
highest_coders <- highest_pair %>% str_extract_all("[ABC]") %>% .[[1]]
third_rater <- c("A", "B", "C") %>% str_remove(paste(highest_coders, collapse = "|")) %>%
  paste(collapse = "")
one_of_highest <- str_extract(highest_pair, ".$")
# Add initial codes to the codes_wide 
codes_wide <- codes_wide %>% 
  mutate(initial_codes = !!sym(one_of_highest))
# Final codes
codes_wide <- codes_wide %>% 
  mutate(highest_pair = highest_coders %>% str_c(collapse = ""),
         third_rater = third_rater) %>% 
  mutate(followed_VGinstructions = case_when(!!sym(highest_pair) == TRUE ~ initial_codes,
                                 TRUE ~ !!sym(third_rater))) 
# add to the main data frame
s2_df <- s2_df %>% left_join(select(codes_wide, -essay_condition, -target_game_name), by = "ResponseId", )

# Codes Table
codes_wide %>% group_by(followed_VGinstructions) %>% summarise(n = n())

## # A tibble: 2 x 2
##   followed_VGinstructions     n
##   <chr>                   <int>
## 1 No                         51
## 2 Yes                       370

Convert to Long

# Full long-format data
s2_df_long <- s2_df %>% 
  pivot_longer(cols = c(starts_with("T1_"),
                        starts_with("T2_"))) %>% 
  mutate(Time = str_extract(name, "T1|T2"),
         Variable = str_replace(name, "T1_|T2_", "")) %>% 
  # Pivoting wider so that each variable has its own column
  pivot_wider(id_cols = c(PID, Time, essay_condition),
              names_from = Variable) %>%
  # Spell Out Time 1 vs Time 2 
  mutate(Time = case_when(Time == "T1" ~ "Time 1",
                          Time == "T2" ~ "Time 2")) %>%
  rename_all(~str_replace(., "_1", ""))

Delete Open-Ended Responses

I exported the data to a cleaned public dataset for analysis. Since the dataset will be public, and the answers to the open-ended responses could potentially be personally identifiable, I dropped the answers to the following open-ended responses. - Rejection essay - Participants’ responses about the purpose of the study - Participants’ responses to share anything about the study I exported the dataset in both .rds and .csv formats. (Study2_public.rds, Study2_public.csv)

# Drop write-in responses for the public dataset
s2_public <- s2_df %>%
  # Masking Essay Responses
  mutate(across(c(NonSurrogacy_Essay, Surrogacy_Essay,
                Study_Purpose, Share_Anything), 
                ~"(Essay resposnes are masked. Please contact naoyuki.sunami@gmail.com)"))

Export Public Dataset

# Save as .rds and .csv 
write_rds(s2_public, here("data_public", "Study2_public.rds"))
write_csv(s2_public, here("data_public", "Study2_public.csv"))

# SaveLong Dataset
write_rds(s2_df_long, here("data_public", "Study2_public_long.rds"))
write_csv(s2_df_long, here("data_public", "Study2_public_long.csv"))

Codebook

I use codebook to add metadata.

# Study Name 
metadata(s2_df)$name <- "Nami Sunami's Dissertation - Study 2"
# Study Description
metadata(s2_df)$description <- paste0("

### Download link
[Open Science Framework](https://osf.io/XXXXX)

### Preprocessing
All rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.

Variables are labeled in SPSS. 

### A list of important abbreviations, prefixes and suffixes:

* PSI = Parasocial Interaction 
* PC = Player Character
")

# Study Identifier 
metadata(s2_df)$identifier <- "https://osf.io/jvk3u/"

# Date published 
metadata(s2_df)$datePublished <- "2015-10-07"

# Creator information 
metadata(s2_df)$creator <- list(
  "@type" = "Person",
  givenName = "Nami", familyName = "Sunami",
  email = "naoyuki.sunami@gmail.com", 
  affiliation = list("@type" = "Organization",
                     name = "University of Delaware, USA"))

# Citation Information
metadata(s2_df)$citation <- "XXXXXXXXX"
# URL
metadata(s2_df)$url <- "https://osf.io/XXXXXXXX/"
# Temporal Coverage
metadata(s2_df)$temporalCoverage <- "2021"
# Spacial Coverage 
metadata(s2_df)$spatialCoverage <- "Delaware, United States
# Distribution" 
metadata(s2_df)$distribution = list(
  list("@type" = "DataDownload",
       "requiresSubscription" = "http://schema.org/True",
       "encodingFormat" = "https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml",
       contentUrl = "https://osf.io/XXXX/download")
)

codebook(s2_df)

## Loading required namespace: GPArotation

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

Metadata

Description

Dataset name: Nami Sunami’s Dissertation - Study 2

Download link

Open Science Framework

Preprocessing

All rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.

Variables are labeled in SPSS.

A list of important abbreviations, prefixes and suffixes:

PSI = Parasocial Interaction
PC = Player Character

Metadata for search engines

Temporal Coverage: 2021
Spatial Coverage: Delaware, United States # Distribution
Citation: XXXXXXXXX
URL: https://osf.io/XXXXXXXX/
Identifier: https://osf.io/jvk3u/
Date published: 2015-10-07
Creator:

name	value
@type	Person
givenName	Nami
familyName	Sunami
email	naoyuki.sunami@gmail.com
affiliation	Organization , University of Delaware, USA

x
DataDownload

x
http://schema.org/True

x
https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml

x
https://osf.io/XXXX/download

x
StartDate
EndDate
Status
Progress
Duration_in_seconds
Finished
RecordedDate
ResponseId
DistributionChannel
UserLanguage
Q_RecaptchaScore
Age
Race
Race_1
Race_4
Race_2
Race_7
Race_8
Race_5
Race_3
Race_6
Race_6_TEXT
Relationship
Relationship_7_TEXT
Gender_Identity
Gender_1
Gender_2
Gender_8
Gender_6
Gender_7
Gender_7_TEXT
Sexori
Sexori_6_TEXT
T1_Heart_1
T1_Valence_1
T1_Arousal_1
T1_Dominance_1
timer_inst_First_Click
timer_inst_Last_Click
timer_inst_Page_Submit
timer_inst_Click_Count
surrogate_vg
nonsurrogate_vg
Rejection_Essay
Rejection_Timer_First_Click
Rejection_Timer_Last_Click
Rejection_Timer_Page_Submit
Rejection_Timer_Click_Count
NonSurrogacy_Essay
Surrogacy_Essay
VG_Essay_Timer_First_Click
VG_Essay_Timer_Last_Click
VG_Essay_Timer_Page_Submit
VG_Essay_Timer_Click_Count
T2_Heart_1
T2_Valence_1
T2_Arousal_1
T2_Dominance_1
Interact_with_NPC
IOS
PSI_1
PSI_2R
PSI_3
PSI_4
PSI_5
PSI_6
PSI_7
PSI_8
PSI_9R
PSI_10R
PSI_11
PSI_12
Single_Immersion
Narrative_Engagement_1R
Narrative_Engagement_2R
Narrative_Engagement_3R
Narrative_Engagement_4R
Narrative_Engagement_5R
Narrative_Engagement_6
Narrative_Engagement_7
Narrative_Engagement_8
Narrative_Engagement_9
OTF_Social_World_1
OTF_Social_World_2
OTF_Social_World_3
OTF_Social_World_4
Enjoyment_1
Enjoyment_2
Enjoyment_3R
Enjoyment_4
Enjoyment_5
VG_When_Played
VG_Freqency
Attention_Rejection
Attention_VG
Study_Purpose
Share_Anything
STUDY_ID
SESSION_ID
attention_rejection_correct
attention_VGessay_correct
attention_all_correct
debug
debug_condition
t_consent_submit
t_age_submit
t_race_submit
t_relationship_submit
t_gender_submit
t_sexori_submit
t_T1Heart_submit
t_T1Valence_submit
t_T1Arousal_submit
t_T1Dominance_submit
t_vgInst_submit
t_videoGameNomination_submit
t_rejectionEssayIntro_submit
t_rejectionEssay_submit
t_surrogacyEssayIntro_submit
t_surrogacyEssay_submit
t_T2Heart_submit
t_T2Valence_submit
t_T2Arousal_submit
t_T2Dominance_submit
t_intractCharacters_submit
t_IOS_submit
t_PSI_submit
t_singleImmersion_submit
t_narrativeEngagement_submit
t_otfSocialWorld_submit
t_enjoyment_submit
t_frequency_submit
t_attentionRejection_submit
t_attentionVideoGame_submit
t_debriefingInfo_submit
essay_condition
target_game_name
Note
PID
PSI
Narrative_Engagement
OTF_Social_World
Enjoyment
essay_condition_title
Gender_Identity_3GP
Race_8GP
parasocial_MC_group
attention_VG_correct
A
B
C
agreeAB
agreeAC
agreeBC
agreeAB_percent
agreeAC_percent
agreeBC_percent
agree_overall_percent
initial_codes
highest_pair
third_rater
followed_VGinstructions

#Variables

StartDate

Start Date

Distribution

## 419  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	min	median	max	format.spss	display_width
StartDate	Start Date	POSIXct	0	1	419	2021-03-16 11:13:53	2021-03-17 13:10:41	2021-04-14 05:00:08	DATETIME20	0

EndDate

End Date

Distribution

## 423  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	min	median	max	format.spss	display_width
EndDate	End Date	POSIXct	0	1	423	2021-03-16 11:27:03	2021-03-17 13:31:25	2021-04-14 05:24:11	DATETIME20	0

Status

Response Type

Distribution

Distribution of values for Status

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Status	Response Type	haven_labelled	0	1	0	0	0	0	0	12	<U+2581><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581>	F40.0	0

Value labels

Response choices
name	value
IP Address	0
Survey Preview	1
Survey Test	2
Imported	4
Spam	8
Survey Preview Spam	9
Imported Spam	12
Offline	16
Offline Survey Preview	17
EX	32
EX Spam	40
EX Offline	48

Progress

Distribution

Distribution of values for Progress

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Progress	Progress	numeric	0	1	38	100	100	99.64623	4.432561	<U+2581><U+2581><U+2581><U+2581><U+2587>	F40.2	0

Duration_in_seconds

Duration (in seconds)

Distribution

Distribution of values for Duration_in_seconds

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Duration_in_seconds	Duration (in seconds)	numeric	0	1	115	1192	3903	1331.934	522.368	<U+2582><U+2587><U+2582><U+2581><U+2581>	F40.2	0

Finished

Distribution

Distribution of values for Finished

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Finished	Finished	haven_labelled	0	1	0	1	1	0.9929245	0.0839167	2	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2587>	F40.0	0

Value labels

Response choices
name	value
False	0
True	1

RecordedDate

Recorded Date

Distribution

## 421  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	min	median	max	format.spss	display_width
RecordedDate	Recorded Date	POSIXct	0	1	421	2021-03-16 11:27:04	2021-03-17 13:31:25	2021-04-14 05:24:11	DATETIME20	0

ResponseId

Response ID

Distribution

Distribution of values for ResponseId

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
ResponseId	Response ID	character	0	1	424	0	17	17	0	A50	0

DistributionChannel

Distribution Channel

Distribution

Distribution of values for DistributionChannel

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
DistributionChannel	Distribution Channel	character	0	1	1	0	9	9	0	A255	0

UserLanguage

User Language

Distribution

Distribution of values for UserLanguage

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
UserLanguage	User Language	character	0	1	1	0	2	2	0	A255	0

Q_RecaptchaScore

Distribution

Distribution of values for Q_RecaptchaScore

4 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Q_RecaptchaScore	Q_RecaptchaScore	numeric	4	0.990566	0.3	1	1	0.962619	0.0794239	<U+2581><U+2581><U+2581><U+2581><U+2587>	F40.2	0

Age

Distribution

Distribution of values for Age

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Age	Age	numeric	0	1	18	22	59	24.69811	7.094325	<U+2587><U+2582><U+2581><U+2581><U+2581>	F40.2	0

Race

Distribution

Distribution of values for Race

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
Race	character	0	1	6	362	0	57	0	NA

Race_1

Race - Selected Choice American Indian, Indigenous Canadian, or Alaska Native

Distribution

## No non-missing values to show.

424 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_1	Race - Selected Choice American Indian, Indigenous Canadian, or Alaska Native	factor	FALSE	1. American Indian, Indigenous Canadian, or Alaska Native	424	0	0	Ame: 0

Race_4

Race - Selected Choice Asian

Distribution

Distribution of values for Race_4

413 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_4	Race - Selected Choice Asian	factor	FALSE	1. Asian	413	0.0259434	1	Asi: 11

Race_2

Race - Selected Choice Black

Distribution

Distribution of values for Race_2

418 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_2	Race - Selected Choice Black	factor	FALSE	1. Black	418	0.0141509	1	Bla: 6

Race_7

Race - Selected Choice Latino/Latina, Hispanic, Chicano, or Puerto Rican

Distribution

Distribution of values for Race_7

383 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_7	Race - Selected Choice Latino/Latina, Hispanic, Chicano, or Puerto Rican	factor	FALSE	1. Latino/Latina, Hispanic, Chicano, or Puerto Rican	383	0.0966981	1	Lat: 41

Race_8

Race - Selected Choice Middle Eastern or North African

Distribution

Distribution of values for Race_8

419 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_8	Race - Selected Choice Middle Eastern or North African	factor	FALSE	1. Middle Eastern or North African	419	0.0117925	1	Mid: 5

Race_5

Race - Selected Choice Native Hawaiian or Pacific Islander

Distribution

## No non-missing values to show.

424 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_5	Race - Selected Choice Native Hawaiian or Pacific Islander	factor	FALSE	1. Native Hawaiian or Pacific Islander	424	0	0	Nat: 0

Race_3

Race - Selected Choice White

Distribution

Distribution of values for Race_3

59 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_3	Race - Selected Choice White	factor	FALSE	1. White	59	0.8608491	1	Whi: 365

Race_6

Race - Selected Choice Prefer to self-describe

Distribution

Distribution of values for Race_6

413 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_6	Race - Selected Choice Prefer to self-describe	factor	FALSE	1. Prefer to self-describe	413	0.0259434	1	Pre: 11

Race_6_TEXT

Race - Prefer to self-describe - Text

Distribution

## 12  unique, categorical values, so not shown.

0 missing values.

Summary statistics

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_6_TEXT	Race - Prefer to self-describe - Text	factor	FALSE	1. , 2. African European, 3. Caucasian, 4. Coloured, 5. European, 6. Italian, 7. Mediterranean, 8. Mediterranian, 9. Mexican, 10. Mixed white/black, 11. No classification, 12. Portuguese	0	1	12	emp: 413, Afr: 1, Cau: 1, Col: 1

Relationship

Relationship Status - Selected Choice

Distribution

Distribution of values for Relationship

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Relationship	Relationship Status - Selected Choice	haven_labelled	0	1	1	4	7	3.238208	1.64521	7	<U+2583><U+2587><U+2582><U+2587><U+2581><U+2582><U+2582><U+2581>	F40.0	0

Value labels

Response choices
name	value
Single—not interested in dating	1
Single—interested in dating	2
Dating Casually	3
Dating Exclusively	4
Engaged	5
Married	6
Other (specify):	7

Relationship_7_TEXT

Relationship Status - Other (specify): - Text

Distribution

Distribution of values for Relationship_7_TEXT

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Relationship_7_TEXT	Relationship Status - Other (specify): - Text	character	0	1	11	413	0	42	0	A255	0

Gender_Identity

Distribution

Distribution of values for Gender_Identity

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
Gender_Identity	character	0	1	8	0	4	59	0	NA

Gender_1

Gender - Selected Choice Male

Distribution

Distribution of values for Gender_1

137 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Gender_1	Gender - Selected Choice Male	factor	FALSE	1. Male	137	0.6768868	1	Mal: 287

Gender_2

Gender - Selected Choice Female

Distribution

Distribution of values for Gender_2

289 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Gender_2	Gender - Selected Choice Female	factor	FALSE	1. Female	289	0.3183962	1	Fem: 135

Gender_8

Gender - Selected Choice Nonbinary

Distribution

Distribution of values for Gender_8

421 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Gender_8	Gender - Selected Choice Nonbinary	factor	FALSE	1. Nonbinary	421	0.0070755	1	Non: 3

Gender_6

Gender - Selected Choice Unsure

Distribution

Distribution of values for Gender_6

422 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Gender_6	Gender - Selected Choice Unsure	factor	FALSE	1. Unsure	422	0.004717	1	Uns: 2

Gender_7

Gender - Selected Choice Prefer to self-describe

Distribution

Distribution of values for Gender_7

422 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Gender_7	Gender - Selected Choice Prefer to self-describe	factor	FALSE	1. Prefer to self-describe	422	0.004717	1	Pre: 2

Gender_7_TEXT

Gender - Prefer to self-describe - Text

Distribution

## 3  unique, categorical values, so not shown.

0 missing values.

Summary statistics

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Gender_7_TEXT	Gender - Prefer to self-describe - Text	factor	FALSE	1. , 2. Genderfluid, 3. there are only two genders	0	1	3	emp: 422, Gen: 1, the: 1

Sexori

Sexual Orientation - Selected Choice

Distribution

Distribution of values for Sexori

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Sexori	Sexual Orientation - Selected Choice	haven_labelled	0	1	1	1	8	1.561321	1.43776	7	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>	F40.0	0

Value labels

Response choices
name	value
Heterosexual	1
Gay/lesbian	2
Bisexual	3
Asexual	7
Pansexual	8
Unsure	5
Prefer to self-describe	6

Sexori_6_TEXT

Sexual Orientation - Prefer to self-describe - Text

Distribution

Distribution of values for Sexori_6_TEXT

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Sexori_6_TEXT	Sexual Orientation - Prefer to self-describe - Text	character	0	1	4	421	0	21	0	A255	0

T1_Heart_1

T1 Heart

Distribution

Distribution of values for T1_Heart_1

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T1_Heart_1	T1 Heart	numeric	0	1	1	7	9	6.28066	1.959158	<U+2581><U+2585><U+2582><U+2587><U+2587>	F40.2	0

T1_Valence_1

T1 Valence

Distribution

Distribution of values for T1_Valence_1

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T1_Valence_1	T1 Valence	numeric	0	1	1	6	9	5.943396	1.917101	<U+2581><U+2583><U+2582><U+2587><U+2585>	F40.2	0

T1_Arousal_1

T1 Arousal

Distribution

Distribution of values for T1_Arousal_1

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T1_Arousal_1	T1 Arousal	numeric	0	1	1	4	9	4.183962	1.704986	<U+2582><U+2587><U+2582><U+2583><U+2581>	F40.2	0

T1_Dominance_1

T1 Dominance

Distribution

Distribution of values for T1_Dominance_1

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T1_Dominance_1	T1 Dominance	numeric	0	1	1	6	9	5.877358	1.704966	<U+2581><U+2583><U+2582><U+2587><U+2583>	F40.2	0

timer_inst_First_Click

Timing - First Click

Distribution

Distribution of values for timer_inst_First_Click

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
timer_inst_First_Click	Timing - First Click	numeric	0	1	0	0	105	2.512307	10.57013	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

timer_inst_Last_Click

Timing - Last Click

Distribution

Distribution of values for timer_inst_Last_Click

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
timer_inst_Last_Click	Timing - Last Click	numeric	0	1	0	0	106	3.030012	10.95781	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

timer_inst_Page_Submit

Timing - Page Submit

Distribution

Distribution of values for timer_inst_Page_Submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
timer_inst_Page_Submit	Timing - Page Submit	numeric	0	1	1.1	8.8	379	15.51126	31.05969	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

timer_inst_Click_Count

Timing - Click Count

Distribution

Distribution of values for timer_inst_Click_Count

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
timer_inst_Click_Count	Timing - Click Count	numeric	0	1	0	0	13	0.5613208	1.523966	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

surrogate_vg

Social surrogate game

Distribution

Distribution of values for surrogate_vg

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
surrogate_vg	Social surrogate game	character	0	1	217	0	3	66	0	A255	0

nonsurrogate_vg

Non-social surrogate game

Distribution

Distribution of values for nonsurrogate_vg

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
nonsurrogate_vg	Non-social surrogate game	character	0	1	220	0	3	154	0	A255	0

Rejection_Essay

Write about a time you felt rejected by a close other

Distribution

Distribution of values for Rejection_Essay

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Rejection_Essay	Write about a time you felt rejected by a close other	character	0	1	423	2	0	2000	0	A255	0

Rejection_Timer_First_Click

Timing - First Click

Distribution

Distribution of values for Rejection_Timer_First_Click

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Rejection_Timer_First_Click	Timing - First Click	numeric	2	0.995283	0.54	35	1036	64.45552	107.1393	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

Rejection_Timer_Last_Click

Timing - Last Click

Distribution

Distribution of values for Rejection_Timer_Last_Click

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Rejection_Timer_Last_Click	Timing - Last Click	numeric	2	0.995283	18	203	1260	212.9369	169.2124	<U+2587><U+2582><U+2581><U+2581><U+2581>	F40.2	0

Rejection_Timer_Page_Submit

Timing - Page Submit

Distribution

Distribution of values for Rejection_Timer_Page_Submit

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Rejection_Timer_Page_Submit	Timing - Page Submit	numeric	2	0.995283	188	257	1437	306.4744	150.4319	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

Rejection_Timer_Click_Count

Timing - Click Count

Distribution

Distribution of values for Rejection_Timer_Click_Count

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Rejection_Timer_Click_Count	Timing - Click Count	numeric	2	0.995283	2	6	54	9.00237	8.752739	<U+2587><U+2582><U+2581><U+2581><U+2581>	F40.2	0

NonSurrogacy_Essay

Write about the Non-Social Surrogacy Game

Distribution

Distribution of values for NonSurrogacy_Essay

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
NonSurrogacy_Essay	Write about the Non-Social Surrogacy Game	character	0	1	206	219	0	1005	0	A255	0

Surrogacy_Essay

Write about the Social Surrogacy Game

Distribution

Distribution of values for Surrogacy_Essay

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Surrogacy_Essay	Write about the Social Surrogacy Game	character	0	1	218	207	0	1870	0	A255	0

VG_Essay_Timer_First_Click

Timing - First Click

Distribution

Distribution of values for VG_Essay_Timer_First_Click

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
VG_Essay_Timer_First_Click	Timing - First Click	numeric	2	0.995283	0.17	19	541	37.58589	60.03256	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

VG_Essay_Timer_Last_Click

Timing - Last Click

Distribution

Distribution of values for VG_Essay_Timer_Last_Click

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
VG_Essay_Timer_Last_Click	Timing - Last Click	numeric	2	0.995283	5.5	182	922	176.8448	149.5886	<U+2587><U+2586><U+2581><U+2581><U+2581>	F40.2	0

VG_Essay_Timer_Page_Submit

Timing - Page Submit

Distribution

Distribution of values for VG_Essay_Timer_Page_Submit

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
VG_Essay_Timer_Page_Submit	Timing - Page Submit	numeric	2	0.995283	89	228	1057	268.7417	116.2416	<U+2587><U+2582><U+2581><U+2581><U+2581>	F40.2	0

VG_Essay_Timer_Click_Count

Timing - Click Count

Distribution

Distribution of values for VG_Essay_Timer_Click_Count

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
VG_Essay_Timer_Click_Count	Timing - Click Count	numeric	2	0.995283	2	5	54	7.71564	7.460407	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

T2_Heart_1

T2 Heart

Distribution

Distribution of values for T2_Heart_1

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T2_Heart_1	T2 Heart	numeric	2	0.995283	1	7	9	6.35545	1.886747	<U+2581><U+2583><U+2582><U+2587><U+2586>	F40.2	0

T2_Valence_1

T2 Valence

Distribution

Distribution of values for T2_Valence_1

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T2_Valence_1	T2 Valence	numeric	2	0.995283	1	6	9	6.232227	1.803429	<U+2581><U+2583><U+2582><U+2587><U+2585>	F40.2	0

T2_Arousal_1

T2 Arousal

Distribution

Distribution of values for T2_Arousal_1

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T2_Arousal_1	T2 Arousal	numeric	3	0.9929245	1	5	9	4.874109	1.906335	<U+2582><U+2587><U+2583><U+2586><U+2582>	F40.2	0

T2_Dominance_1

T2 Dominance

Distribution

Distribution of values for T2_Dominance_1

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T2_Dominance_1	T2 Dominance	numeric	2	0.995283	1	6	9	6.130332	1.654068	<U+2581><U+2582><U+2582><U+2587><U+2583>	F40.2	0

Interact_with_NPC

Did you interact with an NPC?

Distribution

Distribution of values for Interact_with_NPC

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Interact_with_NPC	Did you interact with an NPC?	haven_labelled	2	0.995283	1	1	2	1.412322	0.4928369	2	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2586>	F40.0	0

Value labels

Response choices
name	value
Yes	1
No	2

IOS

IOS with an NPC

Distribution

Distribution of values for IOS

176 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
IOS	IOS with an NPC	haven_labelled	176	0.5849057	0	3	6	2.991935	1.740194	7	<U+2583><U+2586><U+2587><U+2587><U+2581><U+2587><U+2586><U+2583>	F40.0	0

Value labels

Response choices
name	value
0	0
1	1
2	2
3	3
4	4
5	5
6	6

Single_Immersion

While playing the game, I felt completely immersed.

Distribution

Distribution of values for Single_Immersion

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Single_Immersion	While playing the game, I felt completely immersed.	haven_labelled	2	0.995283	-3	2	3	1.85545	1.296975	7	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2583><U+2587><U+2587>	F40.0	0

Value labels

Response choices
name	value
Strongly disagree -3	-3
-2	-2
-1	-1
0	0
1	1
2	2
Strongly agree 3	3

VG_When_Played

When did you play the game?

Distribution

Distribution of values for VG_When_Played

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
VG_When_Played	When did you play the game?	character	0	1	177	3	0	73	0	A255	0

VG_Freqency

How frequently and how long did you play the game?

Distribution

Distribution of values for VG_Freqency

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
VG_Freqency	How frequently and how long did you play the game?	character	0	1	369	3	0	190	0	A255	0

Attention_Rejection

What did you write in the first essay?

Distribution

Distribution of values for Attention_Rejection

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Attention_Rejection	What did you write in the first essay?	haven_labelled	3	0.9929245	1	1	3	1.021378	0.1746261	3	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>	F40.0	0

Value labels

Response choices
name	value
about a time I felt rejected	1
about a time I felt accepted	2
about my morning yesterday	3

Attention_VG

What did you write in the second essay?

Distribution

Distribution of values for Attention_VG

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Attention_VG	What did you write in the second essay?	haven_labelled	3	0.9929245	1	1	3	1.491686	0.5052602	3	<U+2587><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581>	F40.0	0

Value labels

Response choices
name	value
${q://QID3/ChoiceTextEntryValue} \| 1\| \|${q://QID4/ChoiceTextEntryValue}	2
unsure	3

Study_Purpose

Did you wonder about the purposes?

Distribution

Distribution of values for Study_Purpose

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Study_Purpose	Did you wonder about the purposes?	character	0	1	353	37	0	385	0	A255	0

Share_Anything

Is there anything you’d like to share?

Distribution

Distribution of values for Share_Anything

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Share_Anything	Is there anything you’d like to share?	character	0	1	243	130	0	515	0	A255	0

STUDY_ID

Distribution

Distribution of values for STUDY_ID

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
STUDY_ID	STUDY_ID	character	0	1	1	0	24	24	0	A255	0

SESSION_ID

Distribution

Distribution of values for SESSION_ID

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
SESSION_ID	SESSION_ID	character	0	1	424	0	24	24	0	A255	0

attention_rejection_correct

Distribution

Distribution of values for attention_rejection_correct

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
attention_rejection_correct	logical	0	1	TRU: 414, FAL: 10	0.9764151	NA

attention_VGessay_correct

Distribution

Distribution of values for attention_VGessay_correct

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
attention_VGessay_correct	attention_VGessay_correct	character	0	1	2	0	4	5	0	A255	0

attention_all_correct

Distribution

Distribution of values for attention_all_correct

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
attention_all_correct	logical	0	1	TRU: 409, FAL: 15	0.9646226	NA

debug

Distribution

Distribution of values for debug

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
debug	debug	character	0	1	1	424	0	0	0	A255	0

debug_condition

Distribution

Distribution of values for debug_condition

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
debug_condition	debug_condition	character	0	1	1	424	0	0	0	A255	0

t_consent_submit

Distribution

Distribution of values for t_consent_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_consent_submit	t_consent_submit	character	0	1	424	0	24	24	0	A255	0

t_age_submit

Distribution

Distribution of values for t_age_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_age_submit	t_age_submit	character	0	1	424	1	0	24	0	A255	0

t_race_submit

Distribution

Distribution of values for t_race_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_race_submit	t_race_submit	character	0	1	424	0	24	24	0	A255	0

t_relationship_submit

Distribution

Distribution of values for t_relationship_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_relationship_submit	t_relationship_submit	character	0	1	424	0	24	24	0	A255	0

t_gender_submit

Distribution

Distribution of values for t_gender_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_gender_submit	t_gender_submit	character	0	1	424	0	24	24	0	A255	0

t_sexori_submit

Distribution

Distribution of values for t_sexori_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_sexori_submit	t_sexori_submit	character	0	1	424	0	24	24	0	A255	0

t_T1Heart_submit

Distribution

Distribution of values for t_T1Heart_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T1Heart_submit	t_T1Heart_submit	character	0	1	424	0	24	24	0	A255	0

t_T1Valence_submit

Distribution

Distribution of values for t_T1Valence_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T1Valence_submit	t_T1Valence_submit	character	0	1	424	0	24	24	0	A255	0

t_T1Arousal_submit

Distribution

Distribution of values for t_T1Arousal_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T1Arousal_submit	t_T1Arousal_submit	character	0	1	423	0	24	24	0	A255	0

t_T1Dominance_submit

Distribution

Distribution of values for t_T1Dominance_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T1Dominance_submit	t_T1Dominance_submit	character	0	1	424	0	24	24	0	A255	0

t_vgInst_submit

Distribution

Distribution of values for t_vgInst_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_vgInst_submit	t_vgInst_submit	character	0	1	423	2	0	24	0	A255	0

t_videoGameNomination_submit

Distribution

Distribution of values for t_videoGameNomination_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_videoGameNomination_submit	t_videoGameNomination_submit	character	0	1	424	0	24	24	0	A255	0

t_rejectionEssayIntro_submit

Distribution

Distribution of values for t_rejectionEssayIntro_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_rejectionEssayIntro_submit	t_rejectionEssayIntro_submit	character	0	1	424	1	0	24	0	A255	0

t_rejectionEssay_submit

Distribution

Distribution of values for t_rejectionEssay_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_rejectionEssay_submit	t_rejectionEssay_submit	character	0	1	423	2	0	24	0	A255	0

t_surrogacyEssayIntro_submit

Distribution

Distribution of values for t_surrogacyEssayIntro_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_surrogacyEssayIntro_submit	t_surrogacyEssayIntro_submit	character	0	1	423	2	0	24	0	A255	0

t_surrogacyEssay_submit

Distribution

Distribution of values for t_surrogacyEssay_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_surrogacyEssay_submit	t_surrogacyEssay_submit	character	0	1	423	2	0	24	0	A255	0

t_T2Heart_submit

Distribution

Distribution of values for t_T2Heart_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T2Heart_submit	t_T2Heart_submit	character	0	1	423	2	0	24	0	A255	0

t_T2Valence_submit

Distribution

Distribution of values for t_T2Valence_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T2Valence_submit	t_T2Valence_submit	character	0	1	423	2	0	24	0	A255	0

t_T2Arousal_submit

Distribution

Distribution of values for t_T2Arousal_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T2Arousal_submit	t_T2Arousal_submit	character	0	1	423	2	0	24	0	A255	0

t_T2Dominance_submit

Distribution

Distribution of values for t_T2Dominance_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T2Dominance_submit	t_T2Dominance_submit	character	0	1	423	2	0	24	0	A255	0

t_intractCharacters_submit

Distribution

Distribution of values for t_intractCharacters_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_intractCharacters_submit	t_intractCharacters_submit	character	0	1	423	2	0	24	0	A255	0

t_IOS_submit

Distribution

Distribution of values for t_IOS_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_IOS_submit	t_IOS_submit	character	0	1	251	174	0	24	0	A255	0

t_PSI_submit

Distribution

Distribution of values for t_PSI_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_PSI_submit	t_PSI_submit	character	0	1	250	175	0	24	0	A255	0

t_singleImmersion_submit

Distribution

Distribution of values for t_singleImmersion_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_singleImmersion_submit	t_singleImmersion_submit	character	0	1	422	3	0	24	0	A255	0

t_narrativeEngagement_submit

Distribution

Distribution of values for t_narrativeEngagement_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_narrativeEngagement_submit	t_narrativeEngagement_submit	character	0	1	422	3	0	24	0	A255	0

t_otfSocialWorld_submit

Distribution

Distribution of values for t_otfSocialWorld_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_otfSocialWorld_submit	t_otfSocialWorld_submit	character	0	1	422	3	0	24	0	A255	0

t_enjoyment_submit

Distribution

Distribution of values for t_enjoyment_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_enjoyment_submit	t_enjoyment_submit	character	0	1	422	3	0	24	0	A255	0

t_frequency_submit

Distribution

Distribution of values for t_frequency_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_frequency_submit	t_frequency_submit	character	0	1	422	3	0	24	0	A255	0

t_attentionRejection_submit

Distribution

Distribution of values for t_attentionRejection_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_attentionRejection_submit	t_attentionRejection_submit	character	0	1	422	3	0	24	0	A255	0

t_attentionVideoGame_submit

Distribution

Distribution of values for t_attentionVideoGame_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_attentionVideoGame_submit	t_attentionVideoGame_submit	character	0	1	422	3	0	24	0	A255	0

t_debriefingInfo_submit

Distribution

Distribution of values for t_debriefingInfo_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_debriefingInfo_submit	t_debriefingInfo_submit	character	0	1	1	424	0	0	0	A255	0

essay_condition

Distribution

Distribution of values for essay_condition

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
essay_condition	character	0	1	2	0	16	20	0	NA

target_game_name

Distribution

Distribution of values for target_game_name

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
target_game_name	target_game_name	character	0	1	255	0	3	154	0	A255	0

Note

Distribution

Distribution of values for Note

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Note	Note	character	0	1	2	423	0	100	0	A255	0

PID

Distribution

Distribution of values for PID

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
PID	numeric	0	1	1	212	424	212.5	122.5425	<U+2587><U+2587><U+2587><U+2587><U+2587>	NA

Scale: PSI

Overview

Reliability: .

Missing: 179.

Likert plot of scale PSI items

Distribution of scale PSI

Reliability details

## No viewer found, probably documenting or testing

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	PSI_1, PSI_2R, PSI_3, PSI_4, PSI_5, PSI_6, PSI_7, PSI_8, PSI_9R, PSI_10R, PSI_11 & PSI_12
Observations:	245
Positive correlations:	55
Number of correlations:	66
Percentage positive correlations:	83

Estimates assuming interval level

Omega (total):	0.86
Omega (hierarchical):	0.81
Revelle’s Omega (total):	0.86
Greatest Lower Bound (GLB):	0.88
Coefficient H:	0.87
Coefficient Alpha:	0.80

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

4.374, 1.5, 1.214, 0.827, 0.782, 0.7, 0.534, 0.491, 0.441, 0.421, 0.37 & 0.347

Factor analysis (reproducing only shared variance)

	ML1	ML2	ML3
PSI_1	0.679	0.035	0.103
PSI_2R	0.113	-0.132	0.380
PSI_3	0.652	-0.096	-0.310
PSI_4	0.651	-0.014	0.135
PSI_5	0.693	0.037	0.017
PSI_6	0.583	0.140	-0.201
PSI_7	0.676	0.100	0.099
PSI_8	0.524	0.281	0.074
PSI_9R	0.370	-0.059	0.491
PSI_10R	-0.202	0.059	0.459
PSI_11	0.001	0.755	-0.012
PSI_12	0.039	0.806	-0.009

Component analysis (reproducing full covariance matrix)

	TC1	TC3	TC2
PSI_1	0.730	0.051	0.087
PSI_2R	0.179	-0.253	0.630
PSI_3	0.710	-0.121	-0.312
PSI_4	0.707	-0.007	0.167
PSI_5	0.742	0.055	0.017
PSI_6	0.638	0.159	-0.196
PSI_7	0.697	0.159	0.109
PSI_8	0.553	0.362	0.050
PSI_9R	0.399	-0.039	0.614
PSI_10R	-0.280	0.142	0.727
PSI_11	0.008	0.879	-0.014
PSI_12	0.099	0.836	-0.005

Item descriptives

	mean	median	var	sd	IQR	se	q1	q3	max	skew	kurt	dip	n	valid
PSI_1	2.3633	3	1.4863	1.2192	2	0.0779	1	4	4	-0.3694	-0.8414	0.1102	245	245
PSI_2R	2.1837	2	1.6178	1.2719	2	0.0813	1	3	4	-0.0964	-1.0951	0.1184	245	245
PSI_3	1.6041	1	1.8467	1.3589	3	0.0868	0	3	4	0.2822	-1.2259	0.1143	245	245
PSI_4	2.5388	3	1.4134	1.1889	1	0.076	1	4	4	-0.6535	-0.423	0.1082	245	245
PSI_5	2.4327	3	1.853	1.3613	3	0.087	1	4	4	-0.5155	-0.9696	0.1306	245	245
PSI_6	1.8245	2	1.7191	1.3111	2	0.0838	1	3	4	0.0865	-1.1293	0.1102	245	245
PSI_7	2.6939	3	1.5248	1.2348	2	0.0789	1	4	4	-0.8346	-0.2296	0.149	245	245
PSI_8	1.9143	2	1.7672	1.3294	2	0.0849	0	3	4	-0.0844	-1.163	0.1245	245	245
PSI_9R	2.5061	3	1.4559	1.2066	1	0.0771	1.5	4	4	-0.4308	-0.7807	0.1224	245	245
PSI_10R	2.249	2	1.2697	1.1268	2	0.072	1	3	4	-0.1392	-0.7111	0.1347	245	245
PSI_11	1.9592	2	1.9573	1.3991	2	0.0894	0	3	4	-0.1169	-1.3087	0.1163	245	245
PSI_12	1.9306	2	1.5648	1.2509	2	0.0799	1	3	4	-0.1086	-1.0445	0.1286	245	245

Scattermatrix

Scatterplot

## No viewer found, probably documenting or testing

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	median	max	mean	sd	n_value_labels	hist	format.spss
PSI_1	PSI - I carefully followed the behavior of the non-player characters in the game.	haven_labelled	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	176	0.5849057	3	4	2.362903	1.212851	5	<U+2582><U+2585><U+2581><U+2586><U+2581><U+2587><U+2581><U+2585>	F40.0
PSI_2R	PSI - I hardly thought about why the non-player characters in the game did certain things they did.	haven_labelled	4. 0 Not at all, 3. 1, 2. 2, 1. 3, 0. 4 Very much	178	0.5801887	2	4	2.191057	1.274587	5	<U+2583><U+2587><U+2581><U+2587><U+2581><U+2587><U+2581><U+2586>	F40.0
PSI_3	PSI - I kept wondering if I knew persons that are similar to the non-player characters in the game.	haven_labelled	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	178	0.5801887	1	4	1.601626	1.356706	5	<U+2587><U+2586><U+2581><U+2585><U+2581><U+2586><U+2581><U+2583>	F40.0
PSI_4	PSI - I became aware of aspects of the non-player characters in the game that I really liked or disliked.	haven_labelled	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	178	0.5801887	3	4	2.544715	1.190109	5	<U+2582><U+2582><U+2581><U+2585><U+2581><U+2587><U+2581><U+2585>	F40.0
PSI_5	PSI - I kept asking myself how things would evolve around the non-player characters in the game.	haven_labelled	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	178	0.5801887	3	4	2.434959	1.358960	5	<U+2583><U+2583><U+2581><U+2583><U+2581><U+2587><U+2581><U+2586>	F40.0
PSI_6	PSI - Occasionally, I wondered if the non-player characters in the game were similar to me or not.	haven_labelled	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	177	0.5825472	2	4	1.825911	1.308997	5	<U+2587><U+2587><U+2581><U+2587><U+2581><U+2587><U+2581><U+2583>	F40.0
PSI_7	PSI - Sometimes I really loved the non-player characters in the game for what they did.	haven_labelled	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	177	0.5825472	3	4	2.696356	1.233388	5	<U+2582><U+2582><U+2581><U+2583><U+2581><U+2587><U+2581><U+2586>	F40.0
PSI_8	PSI - If the non-player characters in the game felt bad, I felt bad as well; if the non-player characters in the game felt good, I felt good as well.	haven_labelled	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	177	0.5825472	2	4	1.902834	1.330792	5	<U+2587><U+2585><U+2581><U+2587><U+2581><U+2587><U+2581><U+2583>	F40.0
PSI_9R	PSI - The non-player characters in the game left me rather sober and unaffected.	haven_labelled	4. 0 Not at all, 3. 1, 2. 2, 1. 3, 0. 4 Very much	177	0.5825472	3	4	2.502024	1.202553	5	<U+2582><U+2585><U+2581><U+2586><U+2581><U+2587><U+2581><U+2586>	F40.0
PSI_10R	PSI - Whatever the non-player characters in the game said or did—I kept still.	haven_labelled	4. 0 Not at all, 3. 1, 2. 2, 1. 3, 0. 4 Very much	177	0.5825472	2	4	2.255061	1.127864	5	<U+2582><U+2585><U+2581><U+2587><U+2581><U+2586><U+2581><U+2583>	F40.0
PSI_11	PSI - Occasionally, I said something to the non-player characters in the game on impulse.	haven_labelled	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	177	0.5825472	2	4	1.951417	1.396012	5	<U+2586><U+2585><U+2581><U+2585><U+2581><U+2587><U+2581><U+2585>	F40.0
PSI_12	PSI - Sometimes I felt like speaking out on the non-player characters in the game.	haven_labelled	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	178	0.5801887	2	4	1.939024	1.255332	5	<U+2585><U+2586><U+2581><U+2587><U+2581><U+2587><U+2581><U+2583>	F40.0

Scale: Narrative_Engagement

Overview

Reliability: .

Missing: 6.

Likert plot of scale Narrative_Engagement items

Distribution of scale Narrative_Engagement

Reliability details

## No viewer found, probably documenting or testing

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	Narrative_Engagement_1R, Narrative_Engagement_2R, Narrative_Engagement_3R, Narrative_Engagement_4R, Narrative_Engagement_5R, Narrative_Engagement_6, Narrative_Engagement_7, Narrative_Engagement_8 & Narrative_Engagement_9
Observations:	418
Positive correlations:	22
Number of correlations:	36
Percentage positive correlations:	61

Estimates assuming interval level

Omega (total):	0.83
Omega (hierarchical):	0.44
Revelle’s Omega (total):	0.83
Greatest Lower Bound (GLB):	0.83
Coefficient H:	0.81
Coefficient Alpha:	0.60

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Eigen values

2.796, 2.332, 0.932, 0.709, 0.6, 0.501, 0.424, 0.419 & 0.287

Factor analysis (reproducing only shared variance)

	ML1	ML2
Narrative_Engagement_1R	0.428	-0.331
Narrative_Engagement_2R	0.416	-0.359
Narrative_Engagement_3R	0.671	-0.101
Narrative_Engagement_4R	0.830	0.127
Narrative_Engagement_5R	0.734	0.022
Narrative_Engagement_6	0.089	0.655
Narrative_Engagement_7	-0.065	0.622
Narrative_Engagement_8	0.020	0.775
Narrative_Engagement_9	0.070	0.585

Component analysis (reproducing full covariance matrix)

	TC1	TC2
Narrative_Engagement_1R	0.589	-0.354
Narrative_Engagement_2R	0.580	-0.388
Narrative_Engagement_3R	0.741	-0.050
Narrative_Engagement_4R	0.821	0.199
Narrative_Engagement_5R	0.799	0.103
Narrative_Engagement_6	0.102	0.755
Narrative_Engagement_7	-0.084	0.710
Narrative_Engagement_8	0.010	0.815
Narrative_Engagement_9	0.086	0.694

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
Narrative_Engagement_1R	0.7871	1	3.1752	1.7819	3	0.0872	-3	-1	3	3	-0.2867	-1.1712	0.1041	418	418
Narrative_Engagement_2R	1.2201	2	2.8483	1.6877	3	0.0825	-3	0	3	3	-0.653	-0.6093	0.1124	418	418
Narrative_Engagement_3R	0.2847	0	3.312	1.8199	3	0.089	-3	-1	2	3	-0.0033	-1.1867	0.0921	418	418
Narrative_Engagement_4R	0.4761	1	3.1421	1.7726	3	0.0867	-3	-1	2	3	-0.1849	-1.1185	0.0945	418	418
Narrative_Engagement_5R	1.4163	2	2.3059	1.5185	2	0.0743	-3	0	3	3	-0.8925	0.0297	0.1435	418	418
Narrative_Engagement_6	0.988	1	3.1341	1.7704	2	0.0866	-3	-1	2	3	-0.8469	-0.2724	0.1112	418	418
Narrative_Engagement_7	0.1435	0	3.2887	1.8135	3	0.0887	-3	-2	2	3	-0.2052	-0.9618	0.0861	418	418
Narrative_Engagement_8	-0.1124	0	3.7403	1.934	3	0.0946	-3	-2	2	3	-0.072	-1.247	0.0825	418	418
Narrative_Engagement_9	0.2751	1	3.7155	1.9276	3	0.0943	-3	-2	2	3	-0.3521	-1.0256	0.0754	418	418

Scattermatrix

Scatterplot

## No viewer found, probably documenting or testing

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss
Narrative_Engagement_1R	NE - At points, I had a hard time making sense of what was going on in the game.	haven_labelled	3. -3 Strongly disagree, 2. -2, 1. -1, 0. 0, -1. 1, -2. 2, -3. 3 Strongly agree	3	0.9929245	-3	1	3	0.7719715	1.784930	7	<U+2581><U+2583><U+2587><U+2583><U+2581><U+2586><U+2587><U+2587>	F40.0
Narrative_Engagement_2R	NE - I had a hard time recognizing the thread of the story in the game.	haven_labelled	3. -3 Strongly disagree, 2. -2, 1. -1, 0. 0, -1. 1, -2. 2, -3. 3 Strongly agree	4	0.9905660	-3	2	3	1.2119048	1.691013	7	<U+2581><U+2581><U+2583><U+2583><U+2581><U+2583><U+2586><U+2587>	F40.0
Narrative_Engagement_3R	NE - I found my mind wandering while I played the game.	haven_labelled	3. -3 Strongly disagree, 2. -2, 1. -1, 0. 0, -1. 1, -2. 2, -3. 3 Strongly agree	6	0.9858491	-3	0	3	0.2846890	1.819902	7	<U+2582><U+2585><U+2587><U+2583><U+2581><U+2585><U+2586><U+2585>	F40.0
Narrative_Engagement_4R	NE - While I was playing the game, I found myself thinking about other things.	haven_labelled	3. -3 Strongly disagree, 2. -2, 1. -1, 0. 0, -1. 1, -2. 2, -3. 3 Strongly agree	5	0.9882075	-3	1	3	0.4749403	1.770631	7	<U+2582><U+2585><U+2587><U+2585><U+2581><U+2587><U+2587><U+2586>	F40.0
Narrative_Engagement_5R	NE - I had a hard time keeping my mind on the game while I played.	haven_labelled	3. -3 Strongly disagree, 2. -2, 1. -1, 0. 0, -1. 1, -2. 2, -3. 3 Strongly agree	6	0.9858491	-3	2	3	1.4162679	1.518526	7	<U+2581><U+2581><U+2582><U+2583><U+2581><U+2585><U+2587><U+2587>	F40.0
Narrative_Engagement_6	NE - While playing, my body was in the room, but my mind was inside the world created by the game.	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	5	0.9882075	-3	1	3	0.9856802	1.768893	7	<U+2582><U+2582><U+2582><U+2582><U+2581><U+2586><U+2587><U+2586>	F40.0
Narrative_Engagement_7	NE - The game created a new world, and then that world suddenly disappeared when I stopped playing the game.	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	5	0.9882075	-3	0	3	0.1408115	1.812168	7	<U+2585><U+2583><U+2585><U+2586><U+2581><U+2587><U+2586><U+2583>	F40.0
Narrative_Engagement_8	NE - At times during the gameplay, the world of the video game was closer to me than the real world.	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	5	0.9882075	-3	0	3	-0.1097852	1.932441	7	<U+2586><U+2586><U+2586><U+2585><U+2581><U+2587><U+2586><U+2583>	F40.0
Narrative_Engagement_9	NE - The gameplay affected me emotionally.	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	5	0.9882075	-3	1	3	0.2744630	1.925302	7	<U+2583><U+2583><U+2582><U+2583><U+2581><U+2587><U+2585><U+2583>	F40.0

Scale: OTF_Social_World

Overview

Reliability: .

Missing: 4.

Likert plot of scale OTF_Social_World items

Distribution of scale OTF_Social_World

Reliability details

## No viewer found, probably documenting or testing

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	OTF_Social_World_1, OTF_Social_World_2, OTF_Social_World_3 & OTF_Social_World_4
Observations:	420
Positive correlations:	6
Number of correlations:	6
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.89
Omega (hierarchical):	0.88
Revelle’s Omega (total):	0.89
Greatest Lower Bound (GLB):	0.89
Coefficient H:	0.90
Coefficient Alpha:	0.88

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Eigen values

2.953, 0.509, 0.299 & 0.239

Factor analysis (reproducing only shared variance)

	ML1
OTF_Social_World_1	0.875
OTF_Social_World_2	0.664
OTF_Social_World_3	0.869
OTF_Social_World_4	0.818

Component analysis (reproducing full covariance matrix)

	PC1
OTF_Social_World_1	0.895
OTF_Social_World_2	0.772
OTF_Social_World_3	0.895
OTF_Social_World_4	0.868

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
OTF_Social_World_1	0.2071	1	4.4797	2.1165	4	0.1033	-3	-2	2	3	-0.3347	-1.2858	0.1	420	420
OTF_Social_World_2	-0.419	0	3.7285	1.9309	3	0.0942	-3	-2	1	3	0.0463	-1.2505	0.1071	420	420
OTF_Social_World_3	0.0333	1	4.734	2.1758	4	0.1062	-3	-2	2	3	-0.2064	-1.4438	0.1155	420	420
OTF_Social_World_4	-0.2214	0	4.1871	2.0462	4	0.0998	-3	-3	2	3	-0.0613	-1.3833	0.1131	420	420

Scattermatrix

Scatterplot

## No viewer found, probably documenting or testing

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss
OTF_Social_World_1	OTF Social World - The video game presented stories that I immersed myself in	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	3	0.9929245	-3	1	3	0.2137767	2.118378	7	<U+2587><U+2583><U+2583><U+2585><U+2581><U+2587><U+2587><U+2586>	F40.0
OTF_Social_World_2	OTF Social World - The video game presented another social world where I felt like I belonged	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	4	0.9905660	-3	0	3	-0.4190476	1.930936	7	<U+2587><U+2585><U+2585><U+2585><U+2581><U+2587><U+2585><U+2582>	F40.0
OTF_Social_World_3	OTF Social World - The video game had a social narrative that told an engaging story	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	4	0.9905660	-3	1	3	0.0333333	2.175769	7	<U+2587><U+2583><U+2582><U+2583><U+2581><U+2586><U+2587><U+2585>	F40.0
OTF_Social_World_4	OTF Social World - I found myself getting “lost” in the game’s story	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	4	0.9905660	-3	0	3	-0.2214286	2.046248	7	<U+2587><U+2585><U+2583><U+2583><U+2581><U+2587><U+2586><U+2583>	F40.0

Scale: Enjoyment

Overview

Reliability: .

Missing: 3.

Likert plot of scale Enjoyment items

Distribution of scale Enjoyment

Reliability details

## No viewer found, probably documenting or testing

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	Enjoyment_1, Enjoyment_2, Enjoyment_3R, Enjoyment_4 & Enjoyment_5
Observations:	421
Positive correlations:	10
Number of correlations:	10
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.88
Omega (hierarchical):	0.77
Revelle’s Omega (total):	0.88
Greatest Lower Bound (GLB):	0.89
Coefficient H:	0.89
Coefficient Alpha:	0.82

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Eigen values

3.141, 0.708, 0.536, 0.35 & 0.266

Factor analysis (reproducing only shared variance)

	ML1
Enjoyment_1	0.713
Enjoyment_2	0.894
Enjoyment_3R	0.646
Enjoyment_4	0.778
Enjoyment_5	0.626

Component analysis (reproducing full covariance matrix)

	PC1
Enjoyment_1	0.765
Enjoyment_2	0.888
Enjoyment_3R	0.736
Enjoyment_4	0.843
Enjoyment_5	0.718

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
Enjoyment_1	2.5653	3	0.5701	0.7551	1	0.0368	-2	2	NA	3	-2.3572	7.968	0.1176	421	421
Enjoyment_2	2.5962	3	0.527	0.726	1	0.0354	-2	2	NA	3	-2.5144	9.1928	0.1188	421	421
Enjoyment_3R	1.8765	2	1.5466	1.2436	2	0.0606	-3	1	3	3	-1.2195	1.2959	0.1473	421	421
Enjoyment_4	2.2945	3	1.1226	1.0595	1	0.0516	-3	2	NA	3	-1.8532	4.041	0.114	421	421
Enjoyment_5	2.152	3	1.5149	1.2308	1	0.06	-3	2	NA	3	-2.0626	4.9082	0.1295	421	421

Scattermatrix

Scatterplot

## No viewer found, probably documenting or testing

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss
Enjoyment_1	Enjoyment - I think the game is fun.	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	3	0.9929245	-2	3	3	2.565321	0.7550681	7	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2583><U+2587>	F40.0
Enjoyment_2	Enjoyment - I enjoy playing the game.	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	3	0.9929245	-2	3	3	2.596199	0.7259705	7	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2583><U+2587>	F40.0
Enjoyment_3R	Enjoyment - I feel bored while playing the game.	haven_labelled	3. -3 Strongly disagree, 2. -2, 1. -1, 0. 0, -1. 1, -2. 2, -3. 3 Strongly agree	3	0.9929245	-3	2	3	1.876485	1.2436287	7	<U+2581><U+2581><U+2581><U+2582><U+2581><U+2583><U+2586><U+2587>	F40.0
Enjoyment_4	Enjoyment - I am likely to recommend this game to others.	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	3	0.9929245	-3	3	3	2.294537	1.0595118	7	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2582><U+2583><U+2587>	F40.0
Enjoyment_5	Enjoyment - If given the chance, I want to play this game again.	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	3	0.9929245	-3	3	3	2.152019	1.2308251	7	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2582><U+2583><U+2587>	F40.0

essay_condition_title

Distribution

Distribution of values for essay_condition_title

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
essay_condition_title	character	0	1	2	0	16	20	0	NA

Gender_Identity_3GP

Distribution

Distribution of values for Gender_Identity_3GP

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
Gender_Identity_3GP	character	0	1	3	0	4	6	0	NA

Race_8GP

Distribution

Distribution of values for Race_8GP

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
Race_8GP	character	0	1	5	0	5	49	0	NA

parasocial_MC_group

Distribution

Distribution of values for parasocial_MC_group

2 missing values.

Summary statistics

name	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts	label
parasocial_MC_group	factor	TRUE	1. No Interaction with NPC, 2. No Parasocial Relationship with NPC, 3. Formed Parasocial Relationship with NPC	2	0.995283	3	For: 226, No : 174, No : 22	NA

attention_VG_correct

Distribution

Distribution of values for attention_VG_correct

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
attention_VG_correct	logical	0	1	TRU: 414, FAL: 10	0.9764151	NA

A

Distribution

Distribution of values for A

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
A	character	4	0.990566	2	0	2	3	0	NA

B

Distribution

Distribution of values for B

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
B	character	4	0.990566	3	0	2	3	0	NA

C

Distribution

Distribution of values for C

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
C	character	4	0.990566	2	0	2	3	0	NA

agreeAB

Distribution

Distribution of values for agreeAB

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
agreeAB	logical	4	0.990566	TRU: 344, FAL: 76	0.8190476	NA

agreeAC

Distribution

Distribution of values for agreeAC

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
agreeAC	logical	4	0.990566	TRU: 324, FAL: 96	0.7714286	NA

agreeBC

Distribution

Distribution of values for agreeBC

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
agreeBC	logical	4	0.990566	TRU: 347, FAL: 73	0.8261905	NA

agreeAB_percent

Distribution

Distribution of values for agreeAB_percent

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
agreeAB_percent	numeric	4	0.990566	0.82	0.82	0.82	0.8194774	0	<U+2581><U+2581><U+2587><U+2581><U+2581>	NA

agreeAC_percent

Distribution

Distribution of values for agreeAC_percent

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
agreeAC_percent	numeric	4	0.990566	0.77	0.77	0.77	0.7719715	0	<U+2581><U+2581><U+2587><U+2581><U+2581>	NA

agreeBC_percent

Distribution

Distribution of values for agreeBC_percent

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
agreeBC_percent	numeric	4	0.990566	0.83	0.83	0.83	0.8266033	0	<U+2581><U+2581><U+2587><U+2581><U+2581>	NA

agree_overall_percent

Distribution

Distribution of values for agree_overall_percent

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
agree_overall_percent	numeric	4	0.990566	0.81	0.81	0.81	0.8060174	0	<U+2581><U+2581><U+2587><U+2581><U+2581>	NA

initial_codes

Distribution

Distribution of values for initial_codes

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
initial_codes	character	4	0.990566	2	0	2	3	0	NA

highest_pair

Distribution

Distribution of values for highest_pair

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
highest_pair	character	4	0.990566	1	0	2	2	0	NA

third_rater

Distribution

Distribution of values for third_rater

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
third_rater	character	4	0.990566	1	0	1	1	0	NA

followed_VGinstructions

Distribution

Distribution of values for followed_VGinstructions

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
followed_VGinstructions	character	4	0.990566	2	0	2	3	0	NA

Missingness report

Codebook table

name	label	data_type	ordered	value_labels	scale_item_names	n_missing	complete_rate	n_unique	empty	top_counts	count	min	median	max	mean	sd	whitespace	n_value_labels	hist	format.spss	display_width
StartDate	Start Date	POSIXct	NA	NA	NA	0	1.0000000	419	NA	NA	NA	2021-03-16 11:13:53	2021-03-17 13:10:41	2021-04-14 05:00:08	NA	NA	NA	NA	NA	DATETIME20	0
EndDate	End Date	POSIXct	NA	NA	NA	0	1.0000000	423	NA	NA	NA	2021-03-16 11:27:03	2021-03-17 13:31:25	2021-04-14 05:24:11	NA	NA	NA	NA	NA	DATETIME20	0
Status	Response Type	haven_labelled	NA	0. IP Address, 1. Survey Preview, 2. Survey Test, 4. Imported, 8. Spam, 9. Survey Preview Spam, 12. Imported Spam, 16. Offline, 17. Offline Survey Preview, 32. EX, 40. EX Spam, 48. EX Offline	NA	0	1.0000000	NA	NA	NA	NA	0	0	0	0.0000000	0.0000000	NA	12	<U+2581><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581>	F40.0	0
Progress	Progress	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	38.00	100.00	100.00	99.6462264	4.4325611	NA	NA	<U+2581><U+2581><U+2581><U+2581><U+2587>	F40.2	0
Duration_in_seconds	Duration (in seconds)	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	115.00	1191.50	3903.00	1331.9339623	522.3679811	NA	NA	<U+2582><U+2587><U+2582><U+2581><U+2581>	F40.2	0
Finished	Finished	haven_labelled	NA	0. False, 1. True	NA	0	1.0000000	NA	NA	NA	NA	0	1	1	0.9929245	0.0839167	NA	2	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2587>	F40.0	0
RecordedDate	Recorded Date	POSIXct	NA	NA	NA	0	1.0000000	421	NA	NA	NA	2021-03-16 11:27:04	2021-03-17 13:31:25	2021-04-14 05:24:11	NA	NA	NA	NA	NA	DATETIME20	0
ResponseId	Response ID	character	NA	NA	NA	0	1.0000000	424	0	NA	NA	17	NA	17	NA	NA	0	NA	NA	A50	0
DistributionChannel	Distribution Channel	character	NA	NA	NA	0	1.0000000	1	0	NA	NA	9	NA	9	NA	NA	0	NA	NA	A255	0
UserLanguage	User Language	character	NA	NA	NA	0	1.0000000	1	0	NA	NA	2	NA	2	NA	NA	0	NA	NA	A255	0
Q_RecaptchaScore	Q_RecaptchaScore	numeric	NA	NA	NA	4	0.9905660	NA	NA	NA	NA	0.30	1.00	1.00	0.9626190	0.0794239	NA	NA	<U+2581><U+2581><U+2581><U+2581><U+2587>	F40.2	0
Age	Age	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	18.00	22.00	59.00	24.6981132	7.0943254	NA	NA	<U+2587><U+2582><U+2581><U+2581><U+2581>	F40.2	0
Race	NA	character	NA	NA	NA	0	1.0000000	6	362	NA	NA	0	NA	57	NA	NA	0	NA	NA	NA	NA
Race_1	Race - Selected Choice American Indian, Indigenous Canadian, or Alaska Native	factor	FALSE	1. American Indian, Indigenous Canadian, or Alaska Native	NA	424	0.0000000	0	NA	Ame: 0	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Race_4	Race - Selected Choice Asian	factor	FALSE	1. Asian	NA	413	0.0259434	1	NA	Asi: 11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Race_2	Race - Selected Choice Black	factor	FALSE	1. Black	NA	418	0.0141509	1	NA	Bla: 6	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Race_7	Race - Selected Choice Latino/Latina, Hispanic, Chicano, or Puerto Rican	factor	FALSE	1. Latino/Latina, Hispanic, Chicano, or Puerto Rican	NA	383	0.0966981	1	NA	Lat: 41	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Race_8	Race - Selected Choice Middle Eastern or North African	factor	FALSE	1. Middle Eastern or North African	NA	419	0.0117925	1	NA	Mid: 5	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Race_5	Race - Selected Choice Native Hawaiian or Pacific Islander	factor	FALSE	1. Native Hawaiian or Pacific Islander	NA	424	0.0000000	0	NA	Nat: 0	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Race_3	Race - Selected Choice White	factor	FALSE	1. White	NA	59	0.8608491	1	NA	Whi: 365	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Race_6	Race - Selected Choice Prefer to self-describe	factor	FALSE	1. Prefer to self-describe	NA	413	0.0259434	1	NA	Pre: 11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Race_6_TEXT	Race - Prefer to self-describe - Text	factor	FALSE	1. , 2. African European, 3. Caucasian, 4. Coloured, 5. European, 6. Italian, 7. Mediterranean, 8. Mediterranian, 9. Mexican, 10. Mixed white/black, 11. No classification, 12. Portuguese	NA	0	1.0000000	12	NA	emp: 413, Afr: 1, Cau: 1, Col: 1	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Relationship	Relationship Status - Selected Choice	haven_labelled	NA	1. Single—not interested in dating, 2. Single—interested in dating, 3. Dating Casually, 4. Dating Exclusively, 5. Engaged, 6. Married, 7. Other (specify):	NA	0	1.0000000	NA	NA	NA	NA	1	4	7	3.2382075	1.6452101	NA	7	<U+2583><U+2587><U+2582><U+2587><U+2581><U+2582><U+2582><U+2581>	F40.0	0
Relationship_7_TEXT	Relationship Status - Other (specify): - Text	character	NA	NA	NA	0	1.0000000	11	413	NA	NA	0	NA	42	NA	NA	0	NA	NA	A255	0
Gender_Identity	NA	character	NA	NA	NA	0	1.0000000	8	0	NA	NA	4	NA	59	NA	NA	0	NA	NA	NA	NA
Gender_1	Gender - Selected Choice Male	factor	FALSE	1. Male	NA	137	0.6768868	1	NA	Mal: 287	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Gender_2	Gender - Selected Choice Female	factor	FALSE	1. Female	NA	289	0.3183962	1	NA	Fem: 135	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Gender_8	Gender - Selected Choice Nonbinary	factor	FALSE	1. Nonbinary	NA	421	0.0070755	1	NA	Non: 3	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Gender_6	Gender - Selected Choice Unsure	factor	FALSE	1. Unsure	NA	422	0.0047170	1	NA	Uns: 2	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Gender_7	Gender - Selected Choice Prefer to self-describe	factor	FALSE	1. Prefer to self-describe	NA	422	0.0047170	1	NA	Pre: 2	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Gender_7_TEXT	Gender - Prefer to self-describe - Text	factor	FALSE	1. , 2. Genderfluid, 3. there are only two genders	NA	0	1.0000000	3	NA	emp: 422, Gen: 1, the: 1	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Sexori	Sexual Orientation - Selected Choice	haven_labelled	NA	1. Heterosexual, 2. Gay/lesbian, 3. Bisexual, 7. Asexual, 8. Pansexual, 5. Unsure, 6. Prefer to self-describe	NA	0	1.0000000	NA	NA	NA	NA	1	1	8	1.5613208	1.4377597	NA	7	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>	F40.0	0
Sexori_6_TEXT	Sexual Orientation - Prefer to self-describe - Text	character	NA	NA	NA	0	1.0000000	4	421	NA	NA	0	NA	21	NA	NA	0	NA	NA	A255	0
T1_Heart_1	T1 Heart	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	1.00	7.00	9.00	6.2806604	1.9591583	NA	NA	<U+2581><U+2585><U+2582><U+2587><U+2587>	F40.2	0
T1_Valence_1	T1 Valence	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	1.00	6.00	9.00	5.9433962	1.9171008	NA	NA	<U+2581><U+2583><U+2582><U+2587><U+2585>	F40.2	0
T1_Arousal_1	T1 Arousal	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	1.00	4.00	9.00	4.1839623	1.7049857	NA	NA	<U+2582><U+2587><U+2582><U+2583><U+2581>	F40.2	0
T1_Dominance_1	T1 Dominance	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	1.00	6.00	9.00	5.8773585	1.7049661	NA	NA	<U+2581><U+2583><U+2582><U+2587><U+2583>	F40.2	0
timer_inst_First_Click	Timing - First Click	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	0.00	0.00	105.01	2.5123066	10.5701345	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
timer_inst_Last_Click	Timing - Last Click	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	0.00	0.00	105.59	3.0300118	10.9578125	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
timer_inst_Page_Submit	Timing - Page Submit	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	1.05	8.75	379.19	15.5112642	31.0596882	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
timer_inst_Click_Count	Timing - Click Count	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	0.00	0.00	13.00	0.5613208	1.5239659	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
surrogate_vg	Social surrogate game	character	NA	NA	NA	0	1.0000000	217	0	NA	NA	3	NA	66	NA	NA	0	NA	NA	A255	0
nonsurrogate_vg	Non-social surrogate game	character	NA	NA	NA	0	1.0000000	220	0	NA	NA	3	NA	154	NA	NA	0	NA	NA	A255	0
Rejection_Essay	Write about a time you felt rejected by a close other	character	NA	NA	NA	0	1.0000000	423	2	NA	NA	0	NA	2000	NA	NA	0	NA	NA	A255	0
Rejection_Timer_First_Click	Timing - First Click	numeric	NA	NA	NA	2	0.9952830	NA	NA	NA	NA	0.54	35.42	1035.77	64.4555190	107.1393426	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
Rejection_Timer_Last_Click	Timing - Last Click	numeric	NA	NA	NA	2	0.9952830	NA	NA	NA	NA	18.30	202.87	1260.13	212.9369242	169.2123541	NA	NA	<U+2587><U+2582><U+2581><U+2581><U+2581>	F40.2	0
Rejection_Timer_Page_Submit	Timing - Page Submit	numeric	NA	NA	NA	2	0.9952830	NA	NA	NA	NA	188.32	256.95	1436.84	306.4743531	150.4319417	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
Rejection_Timer_Click_Count	Timing - Click Count	numeric	NA	NA	NA	2	0.9952830	NA	NA	NA	NA	2.00	6.00	54.00	9.0023697	8.7527393	NA	NA	<U+2587><U+2582><U+2581><U+2581><U+2581>	F40.2	0
NonSurrogacy_Essay	Write about the Non-Social Surrogacy Game	character	NA	NA	NA	0	1.0000000	206	219	NA	NA	0	NA	1005	NA	NA	0	NA	NA	A255	0
Surrogacy_Essay	Write about the Social Surrogacy Game	character	NA	NA	NA	0	1.0000000	218	207	NA	NA	0	NA	1870	NA	NA	0	NA	NA	A255	0
VG_Essay_Timer_First_Click	Timing - First Click	numeric	NA	NA	NA	2	0.9952830	NA	NA	NA	NA	0.17	19.42	541.32	37.5858863	60.0325631	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
VG_Essay_Timer_Last_Click	Timing - Last Click	numeric	NA	NA	NA	2	0.9952830	NA	NA	NA	NA	5.55	182.10	922.12	176.8448412	149.5886205	NA	NA	<U+2587><U+2586><U+2581><U+2581><U+2581>	F40.2	0
VG_Essay_Timer_Page_Submit	Timing - Page Submit	numeric	NA	NA	NA	2	0.9952830	NA	NA	NA	NA	88.64	227.78	1057.38	268.7417488	116.2416391	NA	NA	<U+2587><U+2582><U+2581><U+2581><U+2581>	F40.2	0
VG_Essay_Timer_Click_Count	Timing - Click Count	numeric	NA	NA	NA	2	0.9952830	NA	NA	NA	NA	2.00	5.00	54.00	7.7156398	7.4604065	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
T2_Heart_1	T2 Heart	numeric	NA	NA	NA	2	0.9952830	NA	NA	NA	NA	1.00	7.00	9.00	6.3554502	1.8867474	NA	NA	<U+2581><U+2583><U+2582><U+2587><U+2586>	F40.2	0
T2_Valence_1	T2 Valence	numeric	NA	NA	NA	2	0.9952830	NA	NA	NA	NA	1.00	6.00	9.00	6.2322275	1.8034288	NA	NA	<U+2581><U+2583><U+2582><U+2587><U+2585>	F40.2	0
T2_Arousal_1	T2 Arousal	numeric	NA	NA	NA	3	0.9929245	NA	NA	NA	NA	1.00	5.00	9.00	4.8741093	1.9063352	NA	NA	<U+2582><U+2587><U+2583><U+2586><U+2582>	F40.2	0
T2_Dominance_1	T2 Dominance	numeric	NA	NA	NA	2	0.9952830	NA	NA	NA	NA	1.00	6.00	9.00	6.1303318	1.6540684	NA	NA	<U+2581><U+2582><U+2582><U+2587><U+2583>	F40.2	0
Interact_with_NPC	Did you interact with an NPC?	haven_labelled	NA	1. Yes, 2. No	NA	2	0.9952830	NA	NA	NA	NA	1	1	2	1.4123223	0.4928369	NA	2	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2586>	F40.0	0
IOS	IOS with an NPC	haven_labelled	NA	0. 0, 1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6	NA	176	0.5849057	NA	NA	NA	NA	0	3	6	2.9919355	1.7401939	NA	7	<U+2583><U+2586><U+2587><U+2587><U+2581><U+2587><U+2586><U+2583>	F40.0	0
PSI_1	PSI - I carefully followed the behavior of the non-player characters in the game.	haven_labelled	NA	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	NA	176	0.5849057	NA	NA	NA	NA	0	3	4	2.3629032	1.2128507	NA	5	<U+2582><U+2585><U+2581><U+2586><U+2581><U+2587><U+2581><U+2585>	F40.0	0
PSI_2R	PSI - I hardly thought about why the non-player characters in the game did certain things they did.	haven_labelled	NA	4. 0 Not at all, 3. 1, 2. 2, 1. 3, 0. 4 Very much	NA	178	0.5801887	NA	NA	NA	NA	0	2	4	2.1910569	1.2745873	NA	5	<U+2583><U+2587><U+2581><U+2587><U+2581><U+2587><U+2581><U+2586>	F40.0	0
PSI_3	PSI - I kept wondering if I knew persons that are similar to the non-player characters in the game.	haven_labelled	NA	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	NA	178	0.5801887	NA	NA	NA	NA	0	1	4	1.6016260	1.3567057	NA	5	<U+2587><U+2586><U+2581><U+2585><U+2581><U+2586><U+2581><U+2583>	F40.0	0
PSI_4	PSI - I became aware of aspects of the non-player characters in the game that I really liked or disliked.	haven_labelled	NA	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	NA	178	0.5801887	NA	NA	NA	NA	0	3	4	2.5447154	1.1901091	NA	5	<U+2582><U+2582><U+2581><U+2585><U+2581><U+2587><U+2581><U+2585>	F40.0	0
PSI_5	PSI - I kept asking myself how things would evolve around the non-player characters in the game.	haven_labelled	NA	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	NA	178	0.5801887	NA	NA	NA	NA	0	3	4	2.4349593	1.3589602	NA	5	<U+2583><U+2583><U+2581><U+2583><U+2581><U+2587><U+2581><U+2586>	F40.0	0
PSI_6	PSI - Occasionally, I wondered if the non-player characters in the game were similar to me or not.	haven_labelled	NA	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	NA	177	0.5825472	NA	NA	NA	NA	0	2	4	1.8259109	1.3089967	NA	5	<U+2587><U+2587><U+2581><U+2587><U+2581><U+2587><U+2581><U+2583>	F40.0	0
PSI_7	PSI - Sometimes I really loved the non-player characters in the game for what they did.	haven_labelled	NA	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	NA	177	0.5825472	NA	NA	NA	NA	0	3	4	2.6963563	1.2333884	NA	5	<U+2582><U+2582><U+2581><U+2583><U+2581><U+2587><U+2581><U+2586>	F40.0	0
PSI_8	PSI - If the non-player characters in the game felt bad, I felt bad as well; if the non-player characters in the game felt good, I felt good as well.	haven_labelled	NA	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	NA	177	0.5825472	NA	NA	NA	NA	0	2	4	1.9028340	1.3307923	NA	5	<U+2587><U+2585><U+2581><U+2587><U+2581><U+2587><U+2581><U+2583>	F40.0	0
PSI_9R	PSI - The non-player characters in the game left me rather sober and unaffected.	haven_labelled	NA	4. 0 Not at all, 3. 1, 2. 2, 1. 3, 0. 4 Very much	NA	177	0.5825472	NA	NA	NA	NA	0	3	4	2.5020243	1.2025532	NA	5	<U+2582><U+2585><U+2581><U+2586><U+2581><U+2587><U+2581><U+2586>	F40.0	0
PSI_10R	PSI - Whatever the non-player characters in the game said or did—I kept still.	haven_labelled	NA	4. 0 Not at all, 3. 1, 2. 2, 1. 3, 0. 4 Very much	NA	177	0.5825472	NA	NA	NA	NA	0	2	4	2.2550607	1.1278643	NA	5	<U+2582><U+2585><U+2581><U+2587><U+2581><U+2586><U+2581><U+2583>	F40.0	0
PSI_11	PSI - Occasionally, I said something to the non-player characters in the game on impulse.	haven_labelled	NA	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	NA	177	0.5825472	NA	NA	NA	NA	0	2	4	1.9514170	1.3960120	NA	5	<U+2586><U+2585><U+2581><U+2585><U+2581><U+2587><U+2581><U+2585>	F40.0	0
PSI_12	PSI - Sometimes I felt like speaking out on the non-player characters in the game.	haven_labelled	NA	0. 0 Not at all, 1. 1, 2. 2, 3. 3, 4. 4 Very much	NA	178	0.5801887	NA	NA	NA	NA	0	2	4	1.9390244	1.2553321	NA	5	<U+2585><U+2586><U+2581><U+2587><U+2581><U+2587><U+2581><U+2583>	F40.0	0
Single_Immersion	While playing the game, I felt completely immersed.	haven_labelled	NA	-3. Strongly disagree -3, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. Strongly agree 3	NA	2	0.9952830	NA	NA	NA	NA	-3	2	3	1.8554502	1.2969748	NA	7	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2583><U+2587><U+2587>	F40.0	0
Narrative_Engagement_1R	NE - At points, I had a hard time making sense of what was going on in the game.	haven_labelled	NA	3. -3 Strongly disagree, 2. -2, 1. -1, 0. 0, -1. 1, -2. 2, -3. 3 Strongly agree	NA	3	0.9929245	NA	NA	NA	NA	-3	1	3	0.7719715	1.7849298	NA	7	<U+2581><U+2583><U+2587><U+2583><U+2581><U+2586><U+2587><U+2587>	F40.0	0
Narrative_Engagement_2R	NE - I had a hard time recognizing the thread of the story in the game.	haven_labelled	NA	3. -3 Strongly disagree, 2. -2, 1. -1, 0. 0, -1. 1, -2. 2, -3. 3 Strongly agree	NA	4	0.9905660	NA	NA	NA	NA	-3	2	3	1.2119048	1.6910127	NA	7	<U+2581><U+2581><U+2583><U+2583><U+2581><U+2583><U+2586><U+2587>	F40.0	0
Narrative_Engagement_3R	NE - I found my mind wandering while I played the game.	haven_labelled	NA	3. -3 Strongly disagree, 2. -2, 1. -1, 0. 0, -1. 1, -2. 2, -3. 3 Strongly agree	NA	6	0.9858491	NA	NA	NA	NA	-3	0	3	0.2846890	1.8199020	NA	7	<U+2582><U+2585><U+2587><U+2583><U+2581><U+2585><U+2586><U+2585>	F40.0	0
Narrative_Engagement_4R	NE - While I was playing the game, I found myself thinking about other things.	haven_labelled	NA	3. -3 Strongly disagree, 2. -2, 1. -1, 0. 0, -1. 1, -2. 2, -3. 3 Strongly agree	NA	5	0.9882075	NA	NA	NA	NA	-3	1	3	0.4749403	1.7706315	NA	7	<U+2582><U+2585><U+2587><U+2585><U+2581><U+2587><U+2587><U+2586>	F40.0	0
Narrative_Engagement_5R	NE - I had a hard time keeping my mind on the game while I played.	haven_labelled	NA	3. -3 Strongly disagree, 2. -2, 1. -1, 0. 0, -1. 1, -2. 2, -3. 3 Strongly agree	NA	6	0.9858491	NA	NA	NA	NA	-3	2	3	1.4162679	1.5185262	NA	7	<U+2581><U+2581><U+2582><U+2583><U+2581><U+2585><U+2587><U+2587>	F40.0	0
Narrative_Engagement_6	NE - While playing, my body was in the room, but my mind was inside the world created by the game.	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	5	0.9882075	NA	NA	NA	NA	-3	1	3	0.9856802	1.7688926	NA	7	<U+2582><U+2582><U+2582><U+2582><U+2581><U+2586><U+2587><U+2586>	F40.0	0
Narrative_Engagement_7	NE - The game created a new world, and then that world suddenly disappeared when I stopped playing the game.	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	5	0.9882075	NA	NA	NA	NA	-3	0	3	0.1408115	1.8121679	NA	7	<U+2585><U+2583><U+2585><U+2586><U+2581><U+2587><U+2586><U+2583>	F40.0	0
Narrative_Engagement_8	NE - At times during the gameplay, the world of the video game was closer to me than the real world.	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	5	0.9882075	NA	NA	NA	NA	-3	0	3	-0.1097852	1.9324414	NA	7	<U+2586><U+2586><U+2586><U+2585><U+2581><U+2587><U+2586><U+2583>	F40.0	0
Narrative_Engagement_9	NE - The gameplay affected me emotionally.	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	5	0.9882075	NA	NA	NA	NA	-3	1	3	0.2744630	1.9253017	NA	7	<U+2583><U+2583><U+2582><U+2583><U+2581><U+2587><U+2585><U+2583>	F40.0	0
OTF_Social_World_1	OTF Social World - The video game presented stories that I immersed myself in	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	3	0.9929245	NA	NA	NA	NA	-3	1	3	0.2137767	2.1183777	NA	7	<U+2587><U+2583><U+2583><U+2585><U+2581><U+2587><U+2587><U+2586>	F40.0	0
OTF_Social_World_2	OTF Social World - The video game presented another social world where I felt like I belonged	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	4	0.9905660	NA	NA	NA	NA	-3	0	3	-0.4190476	1.9309362	NA	7	<U+2587><U+2585><U+2585><U+2585><U+2581><U+2587><U+2585><U+2582>	F40.0	0
OTF_Social_World_3	OTF Social World - The video game had a social narrative that told an engaging story	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	4	0.9905660	NA	NA	NA	NA	-3	1	3	0.0333333	2.1757688	NA	7	<U+2587><U+2583><U+2582><U+2583><U+2581><U+2586><U+2587><U+2585>	F40.0	0
OTF_Social_World_4	OTF Social World - I found myself getting “lost” in the game’s story	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	4	0.9905660	NA	NA	NA	NA	-3	0	3	-0.2214286	2.0462476	NA	7	<U+2587><U+2585><U+2583><U+2583><U+2581><U+2587><U+2586><U+2583>	F40.0	0
Enjoyment_1	Enjoyment - I think the game is fun.	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	3	0.9929245	NA	NA	NA	NA	-2	3	3	2.5653207	0.7550681	NA	7	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2583><U+2587>	F40.0	0
Enjoyment_2	Enjoyment - I enjoy playing the game.	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	3	0.9929245	NA	NA	NA	NA	-2	3	3	2.5961995	0.7259705	NA	7	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2583><U+2587>	F40.0	0
Enjoyment_3R	Enjoyment - I feel bored while playing the game.	haven_labelled	NA	3. -3 Strongly disagree, 2. -2, 1. -1, 0. 0, -1. 1, -2. 2, -3. 3 Strongly agree	NA	3	0.9929245	NA	NA	NA	NA	-3	2	3	1.8764846	1.2436287	NA	7	<U+2581><U+2581><U+2581><U+2582><U+2581><U+2583><U+2586><U+2587>	F40.0	0
Enjoyment_4	Enjoyment - I am likely to recommend this game to others.	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	3	0.9929245	NA	NA	NA	NA	-3	3	3	2.2945368	1.0595118	NA	7	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2582><U+2583><U+2587>	F40.0	0
Enjoyment_5	Enjoyment - If given the chance, I want to play this game again.	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	3	0.9929245	NA	NA	NA	NA	-3	3	3	2.1520190	1.2308251	NA	7	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2582><U+2583><U+2587>	F40.0	0
VG_When_Played	When did you play the game?	character	NA	NA	NA	0	1.0000000	177	3	NA	NA	0	NA	73	NA	NA	0	NA	NA	A255	0
VG_Freqency	How frequently and how long did you play the game?	character	NA	NA	NA	0	1.0000000	369	3	NA	NA	0	NA	190	NA	NA	0	NA	NA	A255	0
Attention_Rejection	What did you write in the first essay?	haven_labelled	NA	1. about a time I felt rejected, 2. about a time I felt accepted, 3. about my morning yesterday	NA	3	0.9929245	NA	NA	NA	NA	1	1	3	1.0213777	0.1746261	NA	3	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>	F40.0	0
Attention_VG	What did you write in the second essay?	haven_labelled	NA	1. ${q://QID3/ChoiceTextEntryValue}, 2. ${q://QID4/ChoiceTextEntryValue}, 3. unsure	NA	3	0.9929245	NA	NA	NA	NA	1	1	3	1.4916865	0.5052602	NA	3	<U+2587><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581>	F40.0	0
Study_Purpose	Did you wonder about the purposes?	character	NA	NA	NA	0	1.0000000	353	37	NA	NA	0	NA	385	NA	NA	0	NA	NA	A255	0
Share_Anything	Is there anything you’d like to share?	character	NA	NA	NA	0	1.0000000	243	130	NA	NA	0	NA	515	NA	NA	0	NA	NA	A255	0
STUDY_ID	STUDY_ID	character	NA	NA	NA	0	1.0000000	1	0	NA	NA	24	NA	24	NA	NA	0	NA	NA	A255	0
SESSION_ID	SESSION_ID	character	NA	NA	NA	0	1.0000000	424	0	NA	NA	24	NA	24	NA	NA	0	NA	NA	A255	0
attention_rejection_correct	NA	logical	NA	NA	NA	0	1.0000000	NA	NA	NA	TRU: 414, FAL: 10	NA	NA	NA	0.9764151	NA	NA	NA	NA	NA	NA
attention_VGessay_correct	attention_VGessay_correct	character	NA	NA	NA	0	1.0000000	2	0	NA	NA	4	NA	5	NA	NA	0	NA	NA	A255	0
attention_all_correct	NA	logical	NA	NA	NA	0	1.0000000	NA	NA	NA	TRU: 409, FAL: 15	NA	NA	NA	0.9646226	NA	NA	NA	NA	NA	NA
debug	debug	character	NA	NA	NA	0	1.0000000	1	424	NA	NA	0	NA	0	NA	NA	0	NA	NA	A255	0
debug_condition	debug_condition	character	NA	NA	NA	0	1.0000000	1	424	NA	NA	0	NA	0	NA	NA	0	NA	NA	A255	0
t_consent_submit	t_consent_submit	character	NA	NA	NA	0	1.0000000	424	0	NA	NA	24	NA	24	NA	NA	0	NA	NA	A255	0
t_age_submit	t_age_submit	character	NA	NA	NA	0	1.0000000	424	1	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_race_submit	t_race_submit	character	NA	NA	NA	0	1.0000000	424	0	NA	NA	24	NA	24	NA	NA	0	NA	NA	A255	0
t_relationship_submit	t_relationship_submit	character	NA	NA	NA	0	1.0000000	424	0	NA	NA	24	NA	24	NA	NA	0	NA	NA	A255	0
t_gender_submit	t_gender_submit	character	NA	NA	NA	0	1.0000000	424	0	NA	NA	24	NA	24	NA	NA	0	NA	NA	A255	0
t_sexori_submit	t_sexori_submit	character	NA	NA	NA	0	1.0000000	424	0	NA	NA	24	NA	24	NA	NA	0	NA	NA	A255	0
t_T1Heart_submit	t_T1Heart_submit	character	NA	NA	NA	0	1.0000000	424	0	NA	NA	24	NA	24	NA	NA	0	NA	NA	A255	0
t_T1Valence_submit	t_T1Valence_submit	character	NA	NA	NA	0	1.0000000	424	0	NA	NA	24	NA	24	NA	NA	0	NA	NA	A255	0
t_T1Arousal_submit	t_T1Arousal_submit	character	NA	NA	NA	0	1.0000000	423	0	NA	NA	24	NA	24	NA	NA	0	NA	NA	A255	0
t_T1Dominance_submit	t_T1Dominance_submit	character	NA	NA	NA	0	1.0000000	424	0	NA	NA	24	NA	24	NA	NA	0	NA	NA	A255	0
t_vgInst_submit	t_vgInst_submit	character	NA	NA	NA	0	1.0000000	423	2	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_videoGameNomination_submit	t_videoGameNomination_submit	character	NA	NA	NA	0	1.0000000	424	0	NA	NA	24	NA	24	NA	NA	0	NA	NA	A255	0
t_rejectionEssayIntro_submit	t_rejectionEssayIntro_submit	character	NA	NA	NA	0	1.0000000	424	1	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_rejectionEssay_submit	t_rejectionEssay_submit	character	NA	NA	NA	0	1.0000000	423	2	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_surrogacyEssayIntro_submit	t_surrogacyEssayIntro_submit	character	NA	NA	NA	0	1.0000000	423	2	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_surrogacyEssay_submit	t_surrogacyEssay_submit	character	NA	NA	NA	0	1.0000000	423	2	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_T2Heart_submit	t_T2Heart_submit	character	NA	NA	NA	0	1.0000000	423	2	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_T2Valence_submit	t_T2Valence_submit	character	NA	NA	NA	0	1.0000000	423	2	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_T2Arousal_submit	t_T2Arousal_submit	character	NA	NA	NA	0	1.0000000	423	2	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_T2Dominance_submit	t_T2Dominance_submit	character	NA	NA	NA	0	1.0000000	423	2	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_intractCharacters_submit	t_intractCharacters_submit	character	NA	NA	NA	0	1.0000000	423	2	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_IOS_submit	t_IOS_submit	character	NA	NA	NA	0	1.0000000	251	174	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_PSI_submit	t_PSI_submit	character	NA	NA	NA	0	1.0000000	250	175	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_singleImmersion_submit	t_singleImmersion_submit	character	NA	NA	NA	0	1.0000000	422	3	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_narrativeEngagement_submit	t_narrativeEngagement_submit	character	NA	NA	NA	0	1.0000000	422	3	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_otfSocialWorld_submit	t_otfSocialWorld_submit	character	NA	NA	NA	0	1.0000000	422	3	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_enjoyment_submit	t_enjoyment_submit	character	NA	NA	NA	0	1.0000000	422	3	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_frequency_submit	t_frequency_submit	character	NA	NA	NA	0	1.0000000	422	3	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_attentionRejection_submit	t_attentionRejection_submit	character	NA	NA	NA	0	1.0000000	422	3	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_attentionVideoGame_submit	t_attentionVideoGame_submit	character	NA	NA	NA	0	1.0000000	422	3	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_debriefingInfo_submit	t_debriefingInfo_submit	character	NA	NA	NA	0	1.0000000	1	424	NA	NA	0	NA	0	NA	NA	0	NA	NA	A255	0
essay_condition	NA	character	NA	NA	NA	0	1.0000000	2	0	NA	NA	16	NA	20	NA	NA	0	NA	NA	NA	NA
target_game_name	target_game_name	character	NA	NA	NA	0	1.0000000	255	0	NA	NA	3	NA	154	NA	NA	0	NA	NA	A255	0
Note	Note	character	NA	NA	NA	0	1.0000000	2	423	NA	NA	0	NA	100	NA	NA	0	NA	NA	A255	0
PID	NA	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	1.00	212.50	424.00	212.5000000	122.5425096	NA	NA	<U+2587><U+2587><U+2587><U+2587><U+2587>	NA	NA
PSI	12 PSI items aggregated by rowMeans	numeric	NA	NA	PSI_1, PSI_2R, PSI_3, PSI_4, PSI_5, PSI_6, PSI_7, PSI_8, PSI_9R, PSI_10R, PSI_11, PSI_12	179	0.5778302	NA	NA	NA	NA	0.17	2.33	3.50	2.1833333	0.7155729	NA	NA	<U+2581><U+2583><U+2586><U+2587><U+2583>	NA	NA
Narrative_Engagement	9 Narrative_Engagement items aggregated by rowMeans	numeric	NA	NA	Narrative_Engagement_1R, Narrative_Engagement_2R, Narrative_Engagement_3R, Narrative_Engagement_4R, Narrative_Engagement_5R, Narrative_Engagement_6, Narrative_Engagement_7, Narrative_Engagement_8, Narrative_Engagement_9	6	0.9858491	NA	NA	NA	NA	-1.78	0.61	3.00	0.6087188	0.8739808	NA	NA	<U+2581><U+2586><U+2587><U+2586><U+2581>	NA	NA
OTF_Social_World	4 OTF_Social_World items aggregated by rowMeans	numeric	NA	NA	OTF_Social_World_1, OTF_Social_World_2, OTF_Social_World_3, OTF_Social_World_4	4	0.9905660	NA	NA	NA	NA	-3.00	0.25	3.00	-0.1000000	1.7776456	NA	NA	<U+2586><U+2583><U+2586><U+2587><U+2583>	NA	NA
Enjoyment	5 Enjoyment items aggregated by rowMeans	numeric	NA	NA	Enjoyment_1, Enjoyment_2, Enjoyment_3R, Enjoyment_4, Enjoyment_5	3	0.9929245	NA	NA	NA	NA	-2.40	2.60	3.00	2.2969121	0.7878331	NA	NA	<U+2581><U+2581><U+2581><U+2582><U+2587>	NA	NA
essay_condition_title	NA	character	NA	NA	NA	0	1.0000000	2	0	NA	NA	16	NA	20	NA	NA	0	NA	NA	NA	NA
Gender_Identity_3GP	NA	character	NA	NA	NA	0	1.0000000	3	0	NA	NA	4	NA	6	NA	NA	0	NA	NA	NA	NA
Race_8GP	NA	character	NA	NA	NA	0	1.0000000	5	0	NA	NA	5	NA	49	NA	NA	0	NA	NA	NA	NA
parasocial_MC_group	NA	factor	TRUE	1. No Interaction with NPC, 2. No Parasocial Relationship with NPC, 3. Formed Parasocial Relationship with NPC	NA	2	0.9952830	3	NA	For: 226, No : 174, No : 22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
attention_VG_correct	NA	logical	NA	NA	NA	0	1.0000000	NA	NA	NA	TRU: 414, FAL: 10	NA	NA	NA	0.9764151	NA	NA	NA	NA	NA	NA
A	NA	character	NA	NA	NA	4	0.9905660	2	0	NA	NA	2	NA	3	NA	NA	0	NA	NA	NA	NA
B	NA	character	NA	NA	NA	4	0.9905660	3	0	NA	NA	2	NA	3	NA	NA	0	NA	NA	NA	NA
C	NA	character	NA	NA	NA	4	0.9905660	2	0	NA	NA	2	NA	3	NA	NA	0	NA	NA	NA	NA
agreeAB	NA	logical	NA	NA	NA	4	0.9905660	NA	NA	NA	TRU: 344, FAL: 76	NA	NA	NA	0.8190476	NA	NA	NA	NA	NA	NA
agreeAC	NA	logical	NA	NA	NA	4	0.9905660	NA	NA	NA	TRU: 324, FAL: 96	NA	NA	NA	0.7714286	NA	NA	NA	NA	NA	NA
agreeBC	NA	logical	NA	NA	NA	4	0.9905660	NA	NA	NA	TRU: 347, FAL: 73	NA	NA	NA	0.8261905	NA	NA	NA	NA	NA	NA
agreeAB_percent	NA	numeric	NA	NA	NA	4	0.9905660	NA	NA	NA	NA	0.82	0.82	0.82	0.8194774	0.0000000	NA	NA	<U+2581><U+2581><U+2587><U+2581><U+2581>	NA	NA
agreeAC_percent	NA	numeric	NA	NA	NA	4	0.9905660	NA	NA	NA	NA	0.77	0.77	0.77	0.7719715	0.0000000	NA	NA	<U+2581><U+2581><U+2587><U+2581><U+2581>	NA	NA
agreeBC_percent	NA	numeric	NA	NA	NA	4	0.9905660	NA	NA	NA	NA	0.83	0.83	0.83	0.8266033	0.0000000	NA	NA	<U+2581><U+2581><U+2587><U+2581><U+2581>	NA	NA
agree_overall_percent	NA	numeric	NA	NA	NA	4	0.9905660	NA	NA	NA	NA	0.81	0.81	0.81	0.8060174	0.0000000	NA	NA	<U+2581><U+2581><U+2587><U+2581><U+2581>	NA	NA
initial_codes	NA	character	NA	NA	NA	4	0.9905660	2	0	NA	NA	2	NA	3	NA	NA	0	NA	NA	NA	NA
highest_pair	NA	character	NA	NA	NA	4	0.9905660	1	0	NA	NA	2	NA	2	NA	NA	0	NA	NA	NA	NA
third_rater	NA	character	NA	NA	NA	4	0.9905660	1	0	NA	NA	1	NA	1	NA	NA	0	NA	NA	NA	NA
followed_VGinstructions	NA	character	NA	NA	NA	4	0.9905660	2	0	NA	NA	2	NA	3	NA	NA	0	NA	NA	NA	NA

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "Nami Sunami's Dissertation - Study 2",
  "description": "\n\n### Download link\n[Open Science Framework](https://osf.io/XXXXX)\n\n### Preprocessing\nAll rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.\n\nVariables are labeled in SPSS. \n\n### A list of important abbreviations, prefixes and suffixes:\n\n* PSI = Parasocial Interaction \n* PC = Player Character\n\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "identifier": "https://osf.io/jvk3u/",
  "datePublished": "2015-10-07",
  "creator": {
    "@type": "Person",
    "givenName": "Nami",
    "familyName": "Sunami",
    "email": "naoyuki.sunami@gmail.com",
    "affiliation": {
      "@type": "Organization",
      "name": "University of Delaware, USA"
    }
  },
  "citation": "XXXXXXXXX",
  "url": "https://osf.io/XXXXXXXX/",
  "temporalCoverage": "2021",
  "spatialCoverage": "Delaware, United States\n# Distribution",
  "distribution": [
    {
      "@type": "DataDownload",
      "requiresSubscription": "http://schema.org/True",
      "encodingFormat": "https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml",
      "contentUrl": "https://osf.io/XXXX/download"
    }
  ],
  "keywords": ["StartDate", "EndDate", "Status", "Progress", "Duration__in_seconds_", "Finished", "RecordedDate", "ResponseId", "DistributionChannel", "UserLanguage", "Q_RecaptchaScore", "Age", "Race", "Race_1", "Race_4", "Race_2", "Race_7", "Race_8", "Race_5", "Race_3", "Race_6", "Race_6_TEXT", "Relationship", "Relationship_7_TEXT", "Gender_Identity", "Gender_1", "Gender_2", "Gender_8", "Gender_6", "Gender_7", "Gender_7_TEXT", "Sexori", "Sexori_6_TEXT", "T1_Heart_1", "T1_Valence_1", "T1_Arousal_1", "T1_Dominance_1", "timer_inst_First_Click", "timer_inst_Last_Click", "timer_inst_Page_Submit", "timer_inst_Click_Count", "surrogate_vg", "nonsurrogate_vg", "Rejection_Essay", "Rejection_Timer_First_Click", "Rejection_Timer_Last_Click", "Rejection_Timer_Page_Submit", "Rejection_Timer_Click_Count", "NonSurrogacy_Essay", "Surrogacy_Essay", "VG_Essay_Timer_First_Click", "VG_Essay_Timer_Last_Click", "VG_Essay_Timer_Page_Submit", "VG_Essay_Timer_Click_Count", "T2_Heart_1", "T2_Valence_1", "T2_Arousal_1", "T2_Dominance_1", "Interact_with_NPC", "IOS", "PSI_1", "PSI_2R", "PSI_3", "PSI_4", "PSI_5", "PSI_6", "PSI_7", "PSI_8", "PSI_9R", "PSI_10R", "PSI_11", "PSI_12", "Single_Immersion", "Narrative_Engagement_1R", "Narrative_Engagement_2R", "Narrative_Engagement_3R", "Narrative_Engagement_4R", "Narrative_Engagement_5R", "Narrative_Engagement_6", "Narrative_Engagement_7", "Narrative_Engagement_8", "Narrative_Engagement_9", "OTF_Social_World_1", "OTF_Social_World_2", "OTF_Social_World_3", "OTF_Social_World_4", "Enjoyment_1", "Enjoyment_2", "Enjoyment_3R", "Enjoyment_4", "Enjoyment_5", "VG_When_Played", "VG_Freqency", "Attention_Rejection", "Attention_VG", "Study_Purpose", "Share_Anything", "STUDY_ID", "SESSION_ID", "attention_rejection_correct", "attention_VGessay_correct", "attention_all_correct", "debug", "debug_condition", "t_consent_submit", "t_age_submit", "t_race_submit", "t_relationship_submit", "t_gender_submit", "t_sexori_submit", "t_T1Heart_submit", "t_T1Valence_submit", "t_T1Arousal_submit", "t_T1Dominance_submit", "t_vgInst_submit", "t_videoGameNomination_submit", "t_rejectionEssayIntro_submit", "t_rejectionEssay_submit", "t_surrogacyEssayIntro_submit", "t_surrogacyEssay_submit", "t_T2Heart_submit", "t_T2Valence_submit", "t_T2Arousal_submit", "t_T2Dominance_submit", "t_intractCharacters_submit", "t_IOS_submit", "t_PSI_submit", "t_singleImmersion_submit", "t_narrativeEngagement_submit", "t_otfSocialWorld_submit", "t_enjoyment_submit", "t_frequency_submit", "t_attentionRejection_submit", "t_attentionVideoGame_submit", "t_debriefingInfo_submit", "essay_condition", "target_game_name", "Note", "PID", "PSI", "Narrative_Engagement", "OTF_Social_World", "Enjoyment", "essay_condition_title", "Gender_Identity_3GP", "Race_8GP", "parasocial_MC_group", "attention_VG_correct", "A", "B", "C", "agreeAB", "agreeAC", "agreeBC", "agreeAB_percent", "agreeAC_percent", "agreeBC_percent", "agree_overall_percent", "initial_codes", "highest_pair", "third_rater", "followed_VGinstructions"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "StartDate",
      "description": "Start Date",
      "@type": "propertyValue"
    },
    {
      "name": "EndDate",
      "description": "End Date",
      "@type": "propertyValue"
    },
    {
      "name": "Status",
      "description": "Response Type",
      "value": "0. IP Address,\n1. Survey Preview,\n2. Survey Test,\n4. Imported,\n8. Spam,\n9. Survey Preview Spam,\n12. Imported Spam,\n16. Offline,\n17. Offline Survey Preview,\n32. EX,\n40. EX Spam,\n48. EX Offline",
      "maxValue": 48,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "Progress",
      "description": "Progress",
      "@type": "propertyValue"
    },
    {
      "name": "Duration__in_seconds_",
      "description": "Duration (in seconds)",
      "@type": "propertyValue"
    },
    {
      "name": "Finished",
      "description": "Finished",
      "value": "0. False,\n1. True",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "RecordedDate",
      "description": "Recorded Date",
      "@type": "propertyValue"
    },
    {
      "name": "ResponseId",
      "description": "Response ID",
      "@type": "propertyValue"
    },
    {
      "name": "DistributionChannel",
      "description": "Distribution Channel",
      "@type": "propertyValue"
    },
    {
      "name": "UserLanguage",
      "description": "User Language",
      "@type": "propertyValue"
    },
    {
      "name": "Q_RecaptchaScore",
      "description": "Q_RecaptchaScore",
      "@type": "propertyValue"
    },
    {
      "name": "Age",
      "description": "Age",
      "@type": "propertyValue"
    },
    {
      "name": "Race",
      "@type": "propertyValue"
    },
    {
      "name": "Race_1",
      "description": "Race - Selected Choice American Indian, Indigenous Canadian, or Alaska Native",
      "value": "1. American Indian, Indigenous Canadian, or Alaska Native",
      "@type": "propertyValue"
    },
    {
      "name": "Race_4",
      "description": "Race - Selected Choice Asian",
      "value": "1. Asian",
      "@type": "propertyValue"
    },
    {
      "name": "Race_2",
      "description": "Race - Selected Choice Black",
      "value": "1. Black",
      "@type": "propertyValue"
    },
    {
      "name": "Race_7",
      "description": "Race - Selected Choice Latino/Latina, Hispanic, Chicano, or Puerto Rican",
      "value": "1. Latino/Latina, Hispanic, Chicano, or Puerto Rican",
      "@type": "propertyValue"
    },
    {
      "name": "Race_8",
      "description": "Race - Selected Choice Middle Eastern or North African",
      "value": "1. Middle Eastern or North African",
      "@type": "propertyValue"
    },
    {
      "name": "Race_5",
      "description": "Race - Selected Choice Native Hawaiian or Pacific Islander",
      "value": "1. Native Hawaiian or Pacific Islander",
      "@type": "propertyValue"
    },
    {
      "name": "Race_3",
      "description": "Race - Selected Choice White",
      "value": "1. White",
      "@type": "propertyValue"
    },
    {
      "name": "Race_6",
      "description": "Race - Selected Choice Prefer to self-describe",
      "value": "1. Prefer to self-describe",
      "@type": "propertyValue"
    },
    {
      "name": "Race_6_TEXT",
      "description": "Race - Prefer to self-describe - Text",
      "value": "1. ,\n2. African European,\n3. Caucasian,\n4. Coloured,\n5. European,\n6. Italian,\n7. Mediterranean,\n8. Mediterranian,\n9. Mexican,\n10. Mixed white/black,\n11. No classification,\n12. Portuguese",
      "@type": "propertyValue"
    },
    {
      "name": "Relationship",
      "description": "Relationship Status - Selected Choice",
      "value": "1. Single—not interested in dating,\n2. Single—interested in dating,\n3. Dating Casually,\n4. Dating Exclusively,\n5. Engaged,\n6. Married,\n7. Other (specify):",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Relationship_7_TEXT",
      "description": "Relationship Status - Other (specify): - Text",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_Identity",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_1",
      "description": "Gender - Selected Choice Male",
      "value": "1. Male",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_2",
      "description": "Gender - Selected Choice Female",
      "value": "1. Female",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_8",
      "description": "Gender - Selected Choice Nonbinary",
      "value": "1. Nonbinary",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_6",
      "description": "Gender - Selected Choice Unsure",
      "value": "1. Unsure",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_7",
      "description": "Gender - Selected Choice Prefer to self-describe",
      "value": "1. Prefer to self-describe",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_7_TEXT",
      "description": "Gender - Prefer to self-describe - Text",
      "value": "1. ,\n2. Genderfluid,\n3. there are only two genders",
      "@type": "propertyValue"
    },
    {
      "name": "Sexori",
      "description": "Sexual Orientation - Selected Choice",
      "value": "1. Heterosexual,\n2. Gay/lesbian,\n3. Bisexual,\n7. Asexual,\n8. Pansexual,\n5. Unsure,\n6. Prefer to self-describe",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Sexori_6_TEXT",
      "description": "Sexual Orientation - Prefer to self-describe - Text",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Heart_1",
      "description": "T1 Heart",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Valence_1",
      "description": "T1 Valence",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Arousal_1",
      "description": "T1 Arousal",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Dominance_1",
      "description": "T1 Dominance",
      "@type": "propertyValue"
    },
    {
      "name": "timer_inst_First_Click",
      "description": "Timing - First Click",
      "@type": "propertyValue"
    },
    {
      "name": "timer_inst_Last_Click",
      "description": "Timing - Last Click",
      "@type": "propertyValue"
    },
    {
      "name": "timer_inst_Page_Submit",
      "description": "Timing - Page Submit",
      "@type": "propertyValue"
    },
    {
      "name": "timer_inst_Click_Count",
      "description": "Timing - Click Count",
      "@type": "propertyValue"
    },
    {
      "name": "surrogate_vg",
      "description": "Social surrogate game",
      "@type": "propertyValue"
    },
    {
      "name": "nonsurrogate_vg",
      "description": "Non-social surrogate game",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Essay",
      "description": "Write about a time you felt rejected by a close other",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_First_Click",
      "description": "Timing - First Click",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_Last_Click",
      "description": "Timing - Last Click",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_Page_Submit",
      "description": "Timing - Page Submit",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_Click_Count",
      "description": "Timing - Click Count",
      "@type": "propertyValue"
    },
    {
      "name": "NonSurrogacy_Essay",
      "description": "Write about the Non-Social Surrogacy Game",
      "@type": "propertyValue"
    },
    {
      "name": "Surrogacy_Essay",
      "description": "Write about the Social Surrogacy Game",
      "@type": "propertyValue"
    },
    {
      "name": "VG_Essay_Timer_First_Click",
      "description": "Timing - First Click",
      "@type": "propertyValue"
    },
    {
      "name": "VG_Essay_Timer_Last_Click",
      "description": "Timing - Last Click",
      "@type": "propertyValue"
    },
    {
      "name": "VG_Essay_Timer_Page_Submit",
      "description": "Timing - Page Submit",
      "@type": "propertyValue"
    },
    {
      "name": "VG_Essay_Timer_Click_Count",
      "description": "Timing - Click Count",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Heart_1",
      "description": "T2 Heart",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Valence_1",
      "description": "T2 Valence",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Arousal_1",
      "description": "T2 Arousal",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Dominance_1",
      "description": "T2 Dominance",
      "@type": "propertyValue"
    },
    {
      "name": "Interact_with_NPC",
      "description": "Did you interact with an NPC?",
      "value": "1. Yes,\n2. No",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "IOS",
      "description": "IOS with an NPC",
      "value": "0. 0,\n1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_1",
      "description": "PSI - I carefully followed the behavior of the non-player characters in the game.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_2R",
      "description": "PSI - I hardly thought about why the non-player characters in the game did certain things they did.",
      "value": "4. 0 Not at all,\n3. 1,\n2. 2,\n1. 3,\n0. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_3",
      "description": "PSI - I kept wondering if I knew persons that are similar to the non-player characters in the game.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_4",
      "description": "PSI - I became aware of aspects of the non-player characters in the game that I really liked or disliked.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_5",
      "description": "PSI - I kept asking myself how things would evolve around the non-player characters in the game.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_6",
      "description": "PSI - Occasionally, I wondered if the non-player characters in the game were similar to me or not.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_7",
      "description": "PSI - Sometimes I really loved the non-player characters in the game for what they did.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_8",
      "description": "PSI - If the non-player characters in the game felt bad, I felt bad as well; if the non-player characters in the game felt good, I felt good as well.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_9R",
      "description": "PSI - The non-player characters in the game left me rather sober and unaffected.",
      "value": "4. 0 Not at all,\n3. 1,\n2. 2,\n1. 3,\n0. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_10R",
      "description": "PSI - Whatever the non-player characters in the game said or did—I kept still.",
      "value": "4. 0 Not at all,\n3. 1,\n2. 2,\n1. 3,\n0. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_11",
      "description": "PSI - Occasionally, I said something to the non-player characters in the game on impulse.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "PSI_12",
      "description": "PSI - Sometimes I felt like speaking out on the non-player characters in the game.",
      "value": "0. 0 Not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4 Very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "Single_Immersion",
      "description": "While playing the game, I felt completely immersed.",
      "value": "-3. Strongly disagree  -3,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. Strongly agree  3",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_1R",
      "description": "NE - At points, I had a hard time making sense of what was going on in the game.",
      "value": "3. -3 Strongly disagree,\n2. -2,\n1. -1,\n0. 0,\n-1. 1,\n-2. 2,\n-3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_2R",
      "description": "NE - I had a hard time recognizing the thread of the story in the game.",
      "value": "3. -3 Strongly disagree,\n2. -2,\n1. -1,\n0. 0,\n-1. 1,\n-2. 2,\n-3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_3R",
      "description": "NE - I found my mind wandering while I played the game.",
      "value": "3. -3 Strongly disagree,\n2. -2,\n1. -1,\n0. 0,\n-1. 1,\n-2. 2,\n-3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_4R",
      "description": "NE - While I was playing the game, I found myself thinking about other things.",
      "value": "3. -3 Strongly disagree,\n2. -2,\n1. -1,\n0. 0,\n-1. 1,\n-2. 2,\n-3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_5R",
      "description": "NE - I had a hard time keeping my mind on the game while I played.",
      "value": "3. -3 Strongly disagree,\n2. -2,\n1. -1,\n0. 0,\n-1. 1,\n-2. 2,\n-3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_6",
      "description": "NE - While playing, my body was in the room, but my mind was inside the world created by the game.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_7",
      "description": "NE - The game created a new world, and then that world suddenly disappeared when I stopped playing the game.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_8",
      "description": "NE - At times during the gameplay, the world of the video game was closer to me than the real world.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement_9",
      "description": "NE - The gameplay affected me emotionally.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_1",
      "description": "OTF Social World - The video game presented stories that I immersed myself in",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_2",
      "description": "OTF Social World - The video game presented another social world where I felt like I belonged",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_3",
      "description": "OTF Social World - The video game had a social narrative that told an engaging story",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_4",
      "description": "OTF Social World - I found myself getting “lost” in the game’s story",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Enjoyment_1",
      "description": "Enjoyment - I think the game is fun.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Enjoyment_2",
      "description": "Enjoyment - I enjoy playing the game.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Enjoyment_3R",
      "description": "Enjoyment - I feel bored while playing the game.",
      "value": "3. -3 Strongly disagree,\n2. -2,\n1. -1,\n0. 0,\n-1. 1,\n-2. 2,\n-3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Enjoyment_4",
      "description": "Enjoyment - I am likely to recommend this game to others.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "Enjoyment_5",
      "description": "Enjoyment - If given the chance, I want to play this game again.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "VG_When_Played",
      "description": "When did you play the game?",
      "@type": "propertyValue"
    },
    {
      "name": "VG_Freqency",
      "description": "How frequently and how long did you play the game?",
      "@type": "propertyValue"
    },
    {
      "name": "Attention_Rejection",
      "description": "What did you write in the first essay?",
      "value": "1. about a time I felt rejected,\n2. about a time I felt accepted,\n3. about my morning yesterday",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Attention_VG",
      "description": "What did you write in the second essay?",
      "value": "1. ${q://QID3/ChoiceTextEntryValue},\n2. ${q://QID4/ChoiceTextEntryValue},\n3. unsure",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Study_Purpose",
      "description": "Did you wonder about the purposes?",
      "@type": "propertyValue"
    },
    {
      "name": "Share_Anything",
      "description": "Is there anything you'd like to share?",
      "@type": "propertyValue"
    },
    {
      "name": "STUDY_ID",
      "description": "STUDY_ID",
      "@type": "propertyValue"
    },
    {
      "name": "SESSION_ID",
      "description": "SESSION_ID",
      "@type": "propertyValue"
    },
    {
      "name": "attention_rejection_correct",
      "@type": "propertyValue"
    },
    {
      "name": "attention_VGessay_correct",
      "description": "attention_VGessay_correct",
      "@type": "propertyValue"
    },
    {
      "name": "attention_all_correct",
      "@type": "propertyValue"
    },
    {
      "name": "debug",
      "description": "debug",
      "@type": "propertyValue"
    },
    {
      "name": "debug_condition",
      "description": "debug_condition",
      "@type": "propertyValue"
    },
    {
      "name": "t_consent_submit",
      "description": "t_consent_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_age_submit",
      "description": "t_age_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_race_submit",
      "description": "t_race_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_relationship_submit",
      "description": "t_relationship_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_gender_submit",
      "description": "t_gender_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_sexori_submit",
      "description": "t_sexori_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Heart_submit",
      "description": "t_T1Heart_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Valence_submit",
      "description": "t_T1Valence_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Arousal_submit",
      "description": "t_T1Arousal_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Dominance_submit",
      "description": "t_T1Dominance_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_vgInst_submit",
      "description": "t_vgInst_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_videoGameNomination_submit",
      "description": "t_videoGameNomination_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_rejectionEssayIntro_submit",
      "description": "t_rejectionEssayIntro_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_rejectionEssay_submit",
      "description": "t_rejectionEssay_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_surrogacyEssayIntro_submit",
      "description": "t_surrogacyEssayIntro_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_surrogacyEssay_submit",
      "description": "t_surrogacyEssay_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Heart_submit",
      "description": "t_T2Heart_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Valence_submit",
      "description": "t_T2Valence_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Arousal_submit",
      "description": "t_T2Arousal_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Dominance_submit",
      "description": "t_T2Dominance_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_intractCharacters_submit",
      "description": "t_intractCharacters_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_IOS_submit",
      "description": "t_IOS_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_PSI_submit",
      "description": "t_PSI_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_singleImmersion_submit",
      "description": "t_singleImmersion_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_narrativeEngagement_submit",
      "description": "t_narrativeEngagement_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_otfSocialWorld_submit",
      "description": "t_otfSocialWorld_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_enjoyment_submit",
      "description": "t_enjoyment_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_frequency_submit",
      "description": "t_frequency_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_attentionRejection_submit",
      "description": "t_attentionRejection_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_attentionVideoGame_submit",
      "description": "t_attentionVideoGame_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_debriefingInfo_submit",
      "description": "t_debriefingInfo_submit",
      "@type": "propertyValue"
    },
    {
      "name": "essay_condition",
      "@type": "propertyValue"
    },
    {
      "name": "target_game_name",
      "description": "target_game_name",
      "@type": "propertyValue"
    },
    {
      "name": "Note",
      "description": "Note",
      "@type": "propertyValue"
    },
    {
      "name": "PID",
      "@type": "propertyValue"
    },
    {
      "name": "PSI",
      "description": "12 PSI items aggregated by rowMeans",
      "@type": "propertyValue"
    },
    {
      "name": "Narrative_Engagement",
      "description": "9 Narrative_Engagement items aggregated by rowMeans",
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World",
      "description": "4 OTF_Social_World items aggregated by rowMeans",
      "@type": "propertyValue"
    },
    {
      "name": "Enjoyment",
      "description": "5 Enjoyment items aggregated by rowMeans",
      "@type": "propertyValue"
    },
    {
      "name": "essay_condition_title",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_Identity_3GP",
      "@type": "propertyValue"
    },
    {
      "name": "Race_8GP",
      "@type": "propertyValue"
    },
    {
      "name": "parasocial_MC_group",
      "value": "1. No Interaction with NPC,\n2. No Parasocial Relationship with NPC,\n3. Formed Parasocial Relationship with NPC",
      "@type": "propertyValue"
    },
    {
      "name": "attention_VG_correct",
      "@type": "propertyValue"
    },
    {
      "name": "A",
      "@type": "propertyValue"
    },
    {
      "name": "B",
      "@type": "propertyValue"
    },
    {
      "name": "C",
      "@type": "propertyValue"
    },
    {
      "name": "agreeAB",
      "@type": "propertyValue"
    },
    {
      "name": "agreeAC",
      "@type": "propertyValue"
    },
    {
      "name": "agreeBC",
      "@type": "propertyValue"
    },
    {
      "name": "agreeAB_percent",
      "@type": "propertyValue"
    },
    {
      "name": "agreeAC_percent",
      "@type": "propertyValue"
    },
    {
      "name": "agreeBC_percent",
      "@type": "propertyValue"
    },
    {
      "name": "agree_overall_percent",
      "@type": "propertyValue"
    },
    {
      "name": "initial_codes",
      "@type": "propertyValue"
    },
    {
      "name": "highest_pair",
      "@type": "propertyValue"
    },
    {
      "name": "third_rater",
      "@type": "propertyValue"
    },
    {
      "name": "followed_VGinstructions",
      "@type": "propertyValue"
    }
  ]
}`

# Save the codebook summary information as csv
s2_codebook_tibble <- codebook_table(s2_df)

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

write_csv(s2_codebook_tibble,
          here("codebooks", "Study 2 - Codebook Table.csv"))

name	value
\({q://QID3/ChoiceTextEntryValue} \| 1\| \|\){q://QID4/ChoiceTextEntryValue}	2
unsure	3

Study 2 Data Preparation and Codebook

Load Data

Masking - Drop Unneded Variables and Drop Unfinished Responses

New Variables

Scale Variables

Title Case Conditions

Gender Identity

Racial Identity

Parasocial Relationships Groups

New Variable: Attention Check

Condtiion Name to Title Case

Video Game and Coding

Convert to Long

Delete Open-Ended Responses

Export Public Dataset

Codebook

Metadata

Description

Download link

Preprocessing

A list of important abbreviations, prefixes and suffixes:

StartDate

Distribution

Summary statistics

EndDate

Distribution

Summary statistics

Status

Distribution

Summary statistics

Value labels

Progress

Distribution

Summary statistics

Duration_in_seconds

Distribution

Summary statistics

Finished

Distribution

Summary statistics

Value labels

RecordedDate

Distribution

Summary statistics

ResponseId

Distribution

Summary statistics

DistributionChannel

Distribution

Summary statistics

UserLanguage

Distribution

Summary statistics

Q_RecaptchaScore

Distribution

Summary statistics

Age

Distribution

Summary statistics

Race

Distribution

Summary statistics

Race_1

Distribution

Summary statistics

Race_4

Distribution

Summary statistics

Race_2

Distribution

Summary statistics

Race_7

Distribution

Summary statistics

Race_8

Distribution

Summary statistics

Race_5

Distribution

Summary statistics